Ultimate Salesforce Data Cloud for Customer Experience
Become a Salesforce Data Cloud implementation expert.Book DescriptionSurvival in today's business landscape hinges on delivering exceptional customer experiences, and Customer Data Platforms (CDPs) are pivotal in achieving this goal. The 'Ultimate Salesforce Data Cloud for Customer Experience' is your indispensable guide to unraveling the Salesforce ecosystem, illuminating its applications' significance in diverse business scenarios. Dive into the transformative potential of Customer Data Platforms, understanding their role in unlocking tremendous value for enterprises. Explore the prowess of Salesforce Data Cloud, a leading CDP platform, and gain practical insights into its seamless implementation.The book explores Salesforce Data Cloud architecture, gaining actionable insights for implementing both Customer Data Platforms and Salesforce Data Cloud. It will navigate the pivotal realms of data security and privacy, establishing a sturdy foundation for customer-centric strategies. The book also covers success stories that showcase the transformative outcomes achieved through the utilization of Salesforce Data Cloud. The end of the book serves as a roadmap for those aspiring to conquer the Salesforce Data Cloud Consultant exam.Table of Contents1. Introducing Salesforce Platform2. Introduction to Customer Data Platform3. Going beyond CDP: Salesforce Data Cloud4. Salesforce Data Cloud Architecture5. Implementing a Customer Data Platform6. Implementing Salesforce Customer Data Cloud7. Data Security and Privacy8. Success Stories with Salesforce Data Cloud9. The Way Forward for Creating Great Customer Experiences10. Preparation for the Salesforce Data Cloud Consultant Exam Index
Growth Product Manager’s Handbook
Achieve sustainable product growth with expert insights on data-driven decision-making and growth strategies to accelerate company's growthKey FeaturesUnderstand and implement key growth product management models to improve revenue, user adoption, and retentionLearn effective frameworks, strategies, and tactics for growth product management in various contextsDevelop practical strategies and insights to achieve customer lifetime goalsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the dynamic landscape of modern product management, professionals face a myriad of challenges, spanning customer acquisition, monetization, user retention, competition, and technical expertise. To overcome these hurdles, this book crystalizes growth strategies that revolve around harnessing the power of data, experimentation, and user insights to drive growth for a product.This handbook serves as your guide to exploring the essential growth product management models and their applications in various contexts, unveiling their role in enhancing revenue performance and customer retention. Along the way, actionable steps will steer you in implementing these models while helping you better understand your users, experiment with new features and marketing strategies, and measure the impact of your efforts, ultimately guiding you to achieve your customer retention and lifetime customer goals.By the end of this book, you'll have gained advanced insights into growth product management, models, and growth strategies, and when and how to use them to achieve customer-for-life goals and optimized revenue performance.What you will learnUnderstand key growth product management models such as lean startup, pirate metrics, and AARRR frameworksOptimize journeys, improve UX, and personalize interactions with retention and loyalty strategiesExplore model applications in SaaS, e-commerce, and mobile app developmentImplement practical actions to prioritize, experiment, and measureGet to grips with techniques of service, feedback, and rewards for customer retentionSet and achieve customer lifetime value goals for successDiscover effective strategies for achieving your customer-for-life goalsWho this book is forWhether you're a seasoned product manager, a newcomer to the field, or an aspiring growth product manager, this guide offers valuable insights and actionable strategies to drive growth and achieve success. Additionally, growth marketers and startup founders with basic product marketing knowledge will benefit from this book, expanding their understanding of growth-centric product management practices to elevate their careers and propel their companies to acquire more customers and reach customer-for-life goals.Table of ContentsIntroduction to Growth Product ManagementUnderstanding Product-Led Growth Management ModelsUnderstanding Your CustomersUnlocking Success in Product Strategy and PlanningSetting the Stage for a Powerful Product-Led EnterpriseDefining and Communicating Your Product Value PropositionThe Science of Growth Experimentation and Testing for Product-Led SuccessDefine, Monitor, and Act on Your Performance MetricsGuiding Your Clients to the Pot of GoldMaintaining High Customer Retention RatesUnlocking Wallet Share through Expansion RevenueThe Future of a Growth Product Manager
Image Processing and Machine Vision
In an era dominated by the convergence of technology and human perception, the field of Image Processing and Machine Vision stands at the forefront of innovation. This book is a comprehensive exploration of this captivating domain, offering a blend of theoretical foundations, practical applications, and cutting-edge advancements. From enhancing medical diagnostics to enabling autonomous vehicles, from revolutionizing digital entertainment to aiding in environmental monitoring, image processing and machine vision have become indispensable tools in our modern world. This book is designed to serve as a guide, a reference, and an inspiration for students, researchers, and professionals seeking to unravel the mysteries of visual data analysis. Throughout these pages, we embark on a journey through the fundamental concepts of image processing, delve into the intricacies of computer vision algorithms, and witness the transformative power of machine learning techniques. With real-world examples and case studies, we illustrate how these technologies are reshaping industries and pushing the boundaries of what's possible. As we explore the chapters within, we encourage readers to embark on their own intellectual voyages, pushing the boundaries of creativity and problem-solving in the captivating realm of Image Processing and Machine Vision. Whether you are a novice eager to grasp the basics or an expert seeking the latest advancements, this book aims to be your trusted companion in the fascinating world of visual data analysis. Welcome to a world where pixels become insights, and images are transformed into knowledge. Enjoy the journey!
AI and ML for Coders
Are you ready to unlock the transformative power of Artificial Intelligence (AI) and Machine Learning (ML) in your coding projects? "AI and ML for Coders" is the essential guide for coders who want to leap into the future of technology.This book is tailored for programmers, developers, and tech enthusiasts eager to integrate AI and ML into their work. Whether you're a seasoned coder or just starting, you'll find invaluable insights and practical knowledge to elevate your craft.Here's what you'll gain from "AI and ML for Coders" A comprehensive understanding of AI and ML evolution, from historical milestones to cutting-edge techniques.A deep dive into the core concepts, terminology, and ethical considerations that every coder must know.Hands-on guidance on choosing the right tools, libraries, and programming languages for your AI and ML projects.Expert strategies for data preparation, preprocessing, and selecting the most effective algorithms for different tasks.Real-world applications and case studies demonstrate AI and ML's power in coding.Key features include: Clear explanations of supervised, unsupervised, and reinforcement learning.Exploration of neural networks, deep learning, natural language processing, and computer vision.Practical advice on navigating the ethical landscape of AI to develop responsible and trustworthy applications.Authored by a seasoned expert in the field, "AI and ML for Coders" is your roadmap to mastering AI and ML. It's not just a book; it's an investment in your future as a coder in an AI-driven world.Take advantage of the opportunity to be at the forefront of the AI revolution. Take the next step and add "AI and ML for Coders" to your library today. Your journey into the realm of AI and ML starts here!
Kubernetes Secrets Handbook
Gain hands-on skills in Kubernetes Secrets management, ensuring a comprehensive overview of the Secrets lifecycle and prioritizing adherence to regulatory standards and business sustainabilityKey FeaturesMaster Secrets encryption, encompassing complex life cycles, key rotation, access control, backup, and recoveryBuild your skills to audit Secrets consumption, troubleshoot, and optimize for efficiency and complianceLearn how to manage Secrets through real-world cases, strengthening your applications' security posturePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSecuring Secrets in containerized apps poses a significant challenge for Kubernetes IT professionals. This book tackles the critical task of safeguarding sensitive data, addressing the limitations of Kubernetes encryption, and establishing a robust Secrets management system for heightened security for Kubernetes.Starting with the fundamental Kubernetes architecture principles and how they apply to the design of Secrets management, this book delves into advanced Kubernetes concepts such as hands-on security, compliance, risk mitigation, disaster recovery, and backup strategies. With the help of practical, real-world guidance, you'll learn how to mitigate risks and establish robust Secrets management as you explore different types of external secret stores, configure them in Kubernetes, and integrate them with existing Secrets management solutions.Further, you'll design, implement, and operate a secure method of managing sensitive payload by leveraging real use cases in an iterative process to enhance skills, practices, and analytical thinking, progressively strengthening the security posture with each solution.By the end of this book, you'll have a rock-solid Secrets management solution to run your business-critical applications in a hybrid multi-cloud scenario, addressing operational risks, compliance, and controls.What you will learnExplore Kubernetes Secrets, related API objects, and CRUD operationsUnderstand the Kubernetes Secrets limitations, attack vectors, and mitigation strategiesExplore encryption at rest and external secret storesBuild and operate a production-grade solution with a focus on business continuityIntegrate a Secrets Management solution in your CI/CD pipelinesConduct continuous assessments of the risks and vulnerabilities for each solutionDraw insights from use cases implemented by large organizationsGain an overview of the latest and upcoming Secrets management trendsWho this book is forThis handbook is a comprehensive reference for IT professionals to design, implement, operate, and audit Secrets in applications and platforms running on Kubernetes. For developer, platform, and security teams experienced with containers, this Secrets management guide offers a progressive path-from foundations to implementation-with a security-first mindset. You'll also find this book useful if you work with hybrid multi-cloud Kubernetes platforms for organizations concerned with governance and compliance requirements.Table of ContentsUnderstanding Kubernetes Secret ManagementWalking through Kubernetes Secret Management ConceptsEncrypting secrets in transit and at restDebugging and Troubleshooting Kubernetes SecretsSecurity, Auditing and ComplianceDisaster Recovery and BackupsChallenges and Risk for Managing Secrets in Kubernetes Production EnvironmentExploring Secret Storage on AWSExploring Secret Storage on Azure(N.B. Please use the Look Inside option to see further chapters)
Deep Learning
Introducing the Ultimate AI Book Bundle: Deep Learning, Computer Vision, Python Machine Learning, and Neural NetworksAre you ready to embark on an exhilarating journey into the world of artificial intelligence, deep learning, and computer vision? Look no further! Our carefully curated book bundle, "DEEP LEARNING: COMPUTER VISION, PYTHON MACHINE LEARNING AND NEURAL NETWORKS," offers you a comprehensive roadmap to AI mastery.BOOK 1 - DEEP LEARNING DEMYSTIFIED: A BEGINNER'S GUIDE ���� Perfect for beginners, this book dismantles the complexities of deep learning. From neural networks to Python programming, you'll build a strong foundation in AI.BOOK 2 - MASTERING COMPUTER VISION WITH DEEP LEARNING ���� Dive into the captivating world of computer vision. Unlock the secrets of image processing, convolutional neural networks (CNNs), and object recognition. Harness the power of visual intelligence!BOOK 3 - PYTHON MACHINE LEARNING AND NEURAL NETWORKS: FROM NOVICE TO PRO ���� Elevate your skills with this intermediate volume. Delve into data preprocessing, supervised and unsupervised learning, and become proficient in training neural networks.BOOK 4 - ADVANCED DEEP LEARNING: CUTTING-EDGE TECHNIQUES AND APPLICATIONS ���� Ready to conquer advanced techniques? Learn optimization strategies, tackle common deep learning challenges, and explore real-world applications shaping the future.Click "Add to Cart" now and embark on an educational adventure that will redefine your understanding of artificial intelligence. Your journey to AI excellence begins here!
Explainable Artificial Intelligence and Process Mining Applications for Healthcare
This book constitutes the proceedings of the Third International Workshop on Explainable Artificial Intelligence in Healthcare, XAI-Healthcare 2023, and the First International Workshop on Process Mining Applications for Healthcare, PM4H 2023, which took place in conjunction with AIME 2023 in Portoroz, Slovenia, on June 15, 2023.The 7 full papers included from XAI-Healthcare were carefully reviewed and selected from 11 submissions. They focus on all aspects of eXplainable Artificial Intelligence (XAI) in the medical and healthcare field. For PM4H 5 papers have been accepted from 17 submissions. They deal with data-driven process analysis techniques in healthcare.
AI and Common Sense
Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can - should we?Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production.A valuable resource for students and scholars of Science-Technology-Society Studies, Sociologists, Psychologists, Media and Culture Studies, human-computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.
Learning Continuous Integration with Jenkins - Third Edition
Integrate Jenkins, Kubernetes, and more on cloud into a robust, GitOps-driven CI/CD system, leveraging JCasC, IaC, and AI for a streamlined software delivery processKey FeaturesFollow the construction of a Jenkins CI/CD pipeline start to finish through a real-world exampleConstruct a continuous deployment (CD) pipeline in Jenkins using GitOps principles and integration with Argo CDCraft and optimize your CI pipeline code with ChatGPT and GitHub CopilotPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis updated edition of Learning Continuous Integration with Jenkins is your one-stop guide to implementing CI/CD with Jenkins, addressing crucial technologies such as cloud computing, containerization, Infrastructure as Code, and GitOps. Tailored to both beginners and seasoned developers, the book provides a practical path to mastering a production-grade, secure, resilient, and cost-effective CI/CD setup.Starting with a detailed introduction to the fundamental principles of CI, this book systematically takes you through setting up a CI environment using Jenkins and other pivotal DevOps tools within the CI/CD ecosystem. You'll learn to write pipeline code with AI assistance and craft your own CI pipeline. With the help of hands-on tutorials, you'll gain a profound understanding of the CI process and Jenkins' robust capabilities. Additionally, the book teaches you how to expand your CI pipeline with automated testing and deployment, setting the stage for continuous deployment. To help you through the complete software delivery process, this book also covers methods to ensure that your CI/CD setup is maintainable across teams, secure, and performs optimally.By the end of the book, you'll have become an expert in implementing and optimizing CI/CD setups across diverse teams.What you will learnUnderstand CI with the Golden Circle theoryDeploy Jenkins on the cloud using Helm charts and Jenkins Configuration as Code (JCasC)Implement optimal security practices to ensure Jenkins operates securelyExtend Jenkins for CI by integrating with SonarQube, GitHub, and ArtifactoryScale Jenkins using containers and the cloud for optimal performanceMaster Jenkins declarative syntax to enrich your pipeline coding vocabularyEnhance security and improve pipeline code within your CI/CD process using best practicesWho this book is forThis book is for a diverse audience, from university students studying Agile software development to seasoned developers, testers, release engineers, and project managers. If you're already using Jenkins for CI, this book will assist you in elevating your projects to CD. Whether you're new to the concepts of Agile, CI, and CD, or a DevOps engineer seeking advanced insights into JCasC, IaC, and Azure, this book will equip you with the tools to harness Jenkins for improved productivity and streamlined deliveries in the cloud.Table of ContentsThe What, How, and Why of Continuous IntegrationPlanning, Deploying, and Maintaining JenkinsSecuring JenkinsExtending JenkinsScaling JenkinsEnhancing Jenkins Pipeline VocabularyCrafting AI-Powered Pipeline CodeSetting the Stage for Writing Your First CI PipelineWriting Your First CI pipelinePlanning for Continuous DeploymentWriting Your First CD PipelineEnhancing Your CI/CD Pipelines
Advanced Computing Techniques in Engineering and Technology
This CCIS conference volume constitutes the proceedings of the 24th International Conference, ACTET 2023, in Jaipur, India, December 2023. The 7 full papers together in this volume were carefully reviewed and selected from 89 submissions. The conference addresses fundamentals of advanced scientific computing and specific mechanisms and algorithms for particular and to exchange their innovative ideas, knowledge, expertise, and experience in advance computing techniques in various domains of engineering and technology.
Lectures on Intelligent Systems
This textbook provides the reader with an essential understanding of computational methods for intelligent systems. These are defined as systems that can solve problems autonomously, in particular problems where algorithmic solutions are inconceivable for humans or not practically executable by computers. Despite the rapidly growing applications in this field, the book avoids application details, instead focusing on computational methods that equip the reader with the methodological tools and competencies necessary to tackle current and future complex applications. The book consists of two parts: computational intelligence methods for optimization, and machine learning. Part I begins with the concept of optimization, and introduces local search algorithms, genetic algorithms, and particle swarm optimization. Part II begins with an introduction to machine learning and covers several methods, many of which can be used as supervised learning algorithms, such as decision treelearning, artificial neural networks, genetic programming, Bayesian learning, support vector machines, and ensemble methods, plus a discussion of unsupervised learning. This textbook is written in a self-contained style, suitable for undergraduate or graduate students in computer science and engineering, and for self-study by researchers and practitioners.
AI Doctor
Explores the transformative impact of artificial intelligence (AI) on the healthcare industry AI Doctor: The Rise of Artificial Intelligence in Healthcare provides a timely and authoritative overview of the current impact and future potential of AI technology in healthcare. With a reader-friendly narrative style, this comprehensive guide traces the evolution of AI in healthcare, describes methodological breakthroughs, drivers and barriers of its adoption, discusses use cases across clinical medicine, administration and operations, and life sciences, and examines the business models for the entrepreneurs, investors, and customers. Detailed yet accessible chapters help those in the business and practice of healthcare recognize the remarkable potential of AI in areas such as drug discovery and development, diagnostics, therapeutics, clinical workflows, personalized medicine, early disease prediction, population health management, and healthcare administration and operations. Throughout the text, author Ronald M. Razmi, MD offers valuable insights on harnessing AI to improve health of the world population, develop more efficient business models, accelerate long-term economic growth, and optimize healthcare budgets. Addressing the potential impact of AI on the clinical practice of medicine, the business of healthcare, and opportunities for investors, AI Doctor: The Rise of Artificial Intelligence in Healthcare: Discusses what AI is currently doing in healthcare and its direction in the next decade Examines the development and challenges for medical algorithms Identifies the applications of AI in diagnostics, therapeutics, population health, clinical workflows, administration and operations, discovery and development of new clinical paradigms and more Presents timely and relevant information on rapidly expanding generative AI technologies, such as Chat GPT Describes the analysis that needs to be made by entrepreneurs and investors as they evaluate building or investing in health AI solutions Features a wealth of relatable real-world examples that bring technical concepts to life Explains the role of AI in the development of vaccines, diagnostics, and therapeutics during the COVID-19 pandemic AI Doctor: The Rise of Artificial Intelligence in Healthcare. A Guide for Users, Buyers, Builders, and Investors is a must-read for healthcare professionals, researchers, investors, entrepreneurs, medical and nursing students, and those building or designing systems for the commercial marketplace. The book's non-technical and reader-friendly narrative style also makes it an ideal read for everyone interested in learning about how AI will improve health and healthcare in the coming decades.
Data-Driven Technology for Children’s Health and Wellbeing
Data-driven health informatics technologies such as mobile health apps and wearable and smart medical devices have become ubiquitous in people's daily lives. As these technologies advance and become more pervasive, the datafication of personal health research has grown substantially in recent years. The field is however primarily focused on adult users, leaving a limited understanding of children's data practices and technology for managing their health and well-being. In this work, the authors aim to delve deeper into children's health datafication practices, navigating the landscape of their technology use, caregiver involvement, and the distinct factors associated with their development and literacy. The authors' intention is to catalyze future innovations, improving the design and utility of health technologies tailored for children. The authors present an overview of the history of personal health datafication research, child development theories, and child-computer interaction studies. This work contributes to the literature by characterizing the trends in children's health datafication research, reflecting on key research themes to guide future health datafication research focused on children, and by providing recommendations for future research and design of data-driven technologies that support children's health and wellbeing.
Automated Realities Shaping Tomorrow_s Work
Computerized truths are quickly reshaping the scene of the upcoming work, introducing another time where innovation assumes a vital part in different parts of expert life. This extraordinary shift is driven by the coordination of man-made consciousness (computer based intelligence), AI, and robotization into the texture of day to day work schedules. One of the essential ways computerized truths are molding the eventual fate of work is through expanded effectiveness and efficiency. Robotization smoothes out daily practice and dreary undertakings, permitting human specialists to zero in on additional perplexing and imaginative parts of their positions. This improves in general efficiency as well as opens up open doors for representatives to participate in more significant and satisfying work. As everyday undertakings become mechanized, human specialists can use their remarkable abilities, for example, decisive reasoning, critical thinking, and innovativeness, to drive development and add to more significant level dynamic cycles. Besides, computerized truths are making a change in outlook in the ranges of abilities expected for the labor force of tomorrow. With computerization taking care of routine undertakings, there is a developing interest for people who have a blend of specialized capability and versatility. The capacity to work close by robotized frameworks, grasp their working, and investigate when important is turning into a significant expertise. Thus, instructive and proficient advancement programs are developing to furnish people with the essential capabilities to flourish in this robotized time. The ascent of computerized truths is additionally reshaping authoritative designs and plans of action. Organizations are reconsidering their work processes and activities, incorporating savvy frameworks to streamline processes and answer all the more really to dynamic economic situations. This flexibility is vital for remaining cutthroat in ventures where mechanical progressions are quickly changing the business scene. In any case, the combination of computerized real factors into the work environment additionally raises significant contemplations, like moral worries and the expected effect on business. As machines assume control over routine undertakings, there is a requirement for moral structures to direct the dependable turn of events and organization of robotized frameworks. Furthermore, there is a continuous exchange about the expected uprooting of occupations and the requirement for retraining and upskilling projects to guarantee that the labor force stays important and versatile. All in all, computerized truths are certainly molding the eventual fate of work in significant ways. From upgrading effectiveness and efficiency to rethinking expertise necessities and hierarchical designs, the effect of mechanization is unavoidable. As we explore this developing scene, it is urgent to find some kind of harmony between the advantages of computerization and the moral contemplations related with its far and wide reception, guaranteeing a future where innovation supplements and expands human capacities in the working environment.
The AI Leadership Edge via ChatGPT, Copilot & Gemini with 111 Prompts to Outperform
Facing barriers in effective leadership? Feel limited by time and resources in leading and coaching your team to success? Imagine the power of a virtual mentor, accessible 24/7.This book is a groundbreaking guide that equips you with AI-powered support to enhance your leadership skills. It offers 111 transformative prompts and their formulas. Tailor them to your specific sector, role, and aspirations to emerge as the leader your team requires. Suitable for use with ChatGPT, Microsoft Copilot, Bing Chat, Google Bard, Meta Llama, and more.Transform the way you lead. Make AI a cornerstone in your leadership arsenal today. This is leadership development at its peak, reflecting the best practices of business management books.Uncover the Comprehensive Benefits of this Book: Speedy Implementation: Instantly create actionable plans, a lesson straight from the leaders book for efficiency.Quality Enhancement: Utilize AI to supercharge your work, as championed in the best business coaching books.Customization: Efficiently customize your leadership models, a concept borrowed from the art of coaching teams.Innovative Thinking: Spark innovation, a necessary pivot to augment your people skills.Personal Empowerment: Gain unique perspectives for strategic decision-making.Special Bonuses Included with Your Book: Exclusive access to 'My Coaching, Mentoring & Leadership Advisor' GPT: It offers personalized leadership, coaching, and mentoring guidance, significantly enhancing your professional growth with custom-tailored insights and strategies. GPT was developed with OpenAI's GPT tech.E-copy of the book: Maximize your efficiency. Effortlessly copy, paste, and tailor prompts to your needs. No more retyping.222 AI-Powered Coaching Prompt Examples: Gain a strategic edge in your career with these real-world examples.All-encompassing AI ChatGPT Guide: It makes AI understandable & actionable, paving the way for its integration into your work. It is for all skill levels. 1100 Follow-up Prompts: Ensure unending development and innovation. These prompts offer continuous inspiration.Concerned about the cost or skeptical about the effectiveness of AI in leadership?Experience the high ROI in leadership growth and efficiency that justifies your investment, a promise held by a powerful business strategy book like this one.Transform your career with this high-impact, efficient guide, a roadmap to developing your leadership skills.Who Needs This Book?Professionals seeking transformative growth. Coaches and mentors aiming to amplify their impact. Organizations desiring a competitive advantage in leadership. Leaders focused on efficiency.This is a book for change-makers and innovators in the leadership spectrum, who are ready for a transformative experience. It's a leadership book designed for those who dare to dream and lead, for the leaders and dreamers.This isn't just a book; it's an innovative solution to your leadership challenges!Click "Buy Now" to embark on your transformative journey in leadership today, mastering AI for business and beyond.
The Digital Revolution Navigating the Future of Technology
Praia Patel's "The Digital Revolution: Navigating the Future of Technology" offers a futuristic look at how technology is changing and how it will affect our daily life. In this incisive and contemplative work, Patel explores the core of the digital revolution, explaining its intricacies and providing a guide for companies and individuals to traverse the constantly evolving technological landscape.With Praia Patel's extensive background in technology and her abundance of knowledge, this book is a must-have for everyone looking to make sense of the modern digital world. Patel delves into important digital trends and their societal effects, covering topics such as blockchain, AI, cybersecurity, and the internet of things. By using interesting language and practical examples, the author simplifies difficult ideas and makes them understandable for people from many walks of life."The Digital Revolution" is more than a forecast; it demands change. Patel urges readers to think about the ethical consequences of innovation and to embrace technology breakthroughs responsibly. If you want to succeed in this digital age and help shape a future where technology is used for the benefit of society, then you need Patel's book. He has a fantastic eye for how technology affects people.
Algorithms
Introducing "ALGORITHMS: COMPUTER SCIENCE UNVEILED" - Your Path to Algorithmic Mastery!Are you fascinated by the world of computer science and the magic of algorithms?Do you want to unlock the power of algorithmic thinking and take your skills to expert levels?Look no further!This exclusive book bundle is your comprehensive guide to mastering the art of algorithms and conquering the exciting realm of computer science.���� BOOK 1 - COMPUTER SCIENCE: ALGORITHMS UNVEILED ����- Dive into the fundamentals of algorithms.- Perfect for beginners and those new to computer science.- Lay a strong foundation for your journey into the world of algorithms.���� BOOK 2 - MASTERING ALGORITHMS: FROM BASICS TO EXPERT LEVEL ����- Take your algorithmic skills to new heights.- Uncover the power of dynamic programming and greedy algorithms.- Ideal for students and professionals looking to become algorithmic experts.���� BOOK 3 - ALGORITHMIC MASTERY: A JOURNEY FROM NOVICE TO GURU ����- Embark on a transformative journey from novice to guru.- Master divide and conquer strategies.- Tackle algorithmic challenges that demand mastery.- Suitable for anyone seeking to elevate their problem-solving abilities.���� BOOK 4 - ALGORITHMIC WIZARDRY: UNRAVELING COMPLEXITY FOR EXPERTS ����- Push the boundaries of your algorithmic expertise.- Explore expert-level techniques and conquer puzzles.- For those who aspire to become true algorithmic wizards.Unlock the Secrets of Computer Science Today!Get your copy now and embark on a journey to algorithmic mastery!
The Mobility Society
Over the last century and a half, modern life has largely been characterized by stability and predictability, where individuals settled in one place and followed familiar routines. The late 19th century saw the rise of global brands and transportation advancements, making the world smaller in a virtual sense and more accessible in a logistical one. By the 1990s, global brands and easy transport were the norm, yet the patterns of life remained largely unchanged.About three decades ago, the pace of change quickened dramatically. Ties to a fixed location weakened, economic forces shifted, and telecommunications shifted from landlines to cellular and IP services. Norms around employment shifted, giving rise to the gig economy. Companies like Amazon and Uber reshaped expectations, leading to an "anything, anywhere, anytime" culture.The Mobility Society emerged, a constant evolution transcending place and time. This transformation is expertly explored and defined by the insightful mind of Paul Warburton, who has been at the forefront of this movement for over a decade. His "Now - Near - Far" structure has become a powerful tool in planning and understanding the changes that lie ahead.This book weaves together the complex web of technological and societal changes shaping the Mobility Society. For those involved in these transformations, this book offers fascinating insights, while for those in policymaking roles, it is a crucial guide to understanding and preparing for the inevitable evolution.
AI Ethics
Man-made intelligence Morals is a critical structure that directs the dependable turn of events, sending, and utilization of computerized reasoning (artificial intelligence) frameworks. As innovation propels, the moral contemplations encompassing simulated intelligence become more mind boggling, requiring a proactive way to deal with explore likely quandaries and guarantee the capable and evenhanded utilization of these amazing assets.At its center, computer based intelligence Morals rotates around tending to the moral difficulties that rise out of the utilization of computer based intelligence advances in different areas, like medical care, finance, law enforcement, and that's just the beginning. One key viewpoint includes guaranteeing that simulated intelligence frameworks maintain standards of reasonableness, straightforwardness, and responsibility. Engineers and associations should endeavor to stay away from predispositions in calculations, advance straightforwardness in dynamic cycles, and lay out responsibility systems to correct unseen side-effects.Security is one more foremost worry in computer based intelligence Morals. As man-made intelligence frameworks process tremendous measures of information to create bits of knowledge and forecasts, protecting people's security becomes basic. Finding some kind of harmony between utilizing information for development and regarding people's privileges to security includes carrying out powerful information assurance measures, secure information stockpiling, and acquiring informed assent from clients.Guaranteeing inclusivity is an essential feature of computer based intelligence Morals. Engineers should be aware of the expected predispositions in preparing information that man-made intelligence models might acquire, coincidentally sustaining segregation. Proactive endeavors to remember different viewpoints for the plan and improvement stages are indispensable to making simulated intelligence frameworks that take special care of the requirements of a wide and delegate client base.Simulated intelligence Morals additionally wrestles with the responsibility of independent frameworks. As simulated intelligence applications progressively work freely, questions emerge about who bears liability regarding their activities. Laying out clear lines of responsibility and components for review in case of framework disappointments or moral breaks is essential to keeping up with public confidence in man-made intelligence advances.Besides, progressing training and mindfulness assume a significant part in artificial intelligence Morals. Clients, engineers, and policymakers need to remain educated about the developing moral scene regarding simulated intelligence, cultivating an aggregate comprehension of the likely dangers and advantages. Moral contemplations ought to be a vital piece of instructive educational plans, proficient preparation, and public talk to engage partners in pursuing informed choices.
Algorithms and Subjectivity
In this thought-provoking volume, Eran Fisher interrogates the relationship between algorithms as epistemic devices and modern notions of subjectivity.Over the past few decades, as the instrumentalization of algorithms has created knowledge that informs our decisions, preferences, tastes, and actions, and the very sense of who we are, they have also undercut, and arguably undermined, the Enlightenment-era ideal of the subject. Fisher finds that as algorithms enable a reality in which knowledge is created by circumventing the participation of the self, they also challenge contemporary notions of subjectivity.Through four case-studies, this book provides an empirical and theoretical investigation of this transformation, analyzing how algorithmic knowledge differs from the ideas of critical knowledge which emerged during modernity - Fisher argues that algorithms create a new type of knowledge, which in turn changes our fundamental sense of self and our concept of subjectivity.This book will make a timely contribution to the social study of algorithms and will prove especially valuable for scholars working at the intersections of media and communication studies, internet studies, information studies, the sociology of technology, the philosophy of technology, and science and technology studies.
Elements of Dimensionality Reduction and Manifold Learning
Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and manifold learning. Three main aspects of dimensionality reduction are covered: spectral dimensionality reduction, probabilistic dimensionality reduction, and neural network-based dimensionality reduction, which have geometric, probabilistic, and information-theoretic points of view to dimensionality reduction, respectively. The necessary background and preliminaries on linear algebra, optimization, and kernels are also explained to ensure a comprehensive understanding of the algorithms.The tools introduced in this book can be applied to various applications involving feature extraction, image processing, computer vision, and signal processing. This book is applicable to a wide audience who would like to acquire a deep understanding of the various ways to extract, transform, and understand the structure of data. The intended audiences are academics, students, and industry professionals. Academic researchers and students can use this book as a textbook for machine learning and dimensionality reduction. Data scientists, machine learning scientists, computer vision scientists, and computer scientists can use this book as a reference. It can also be helpful to statisticians in the field of statistical learning and applied mathematicians in the fields of manifolds and subspace analysis. Industry professionals, including applied engineers, data engineers, and engineers in various fields of science dealing with machine learning, can use this as a guidebook for feature extraction from their data, as the raw data in industry often require preprocessing.The book is grounded in theory but provides thorough explanations and diverseexamples to improve the reader's comprehension of the advanced topics. Advanced methods are explained in a step-by-step manner so that readers of all levels can follow the reasoning and come to a deep understanding of the concepts. This book does not assume advanced theoretical background in machine learning and provides necessary background, although an undergraduate-level background in linear algebra and calculus is recommended.
AI in Wireless for Beyond 5g Networks
Artificial intelligence (AI) is a game changer in many domains, and wireless communication networks are no exception. With the advent of 5G networks, we have witnessed rapid growth in wireless connectivity, which has led to unprecedented opportunities for innovation and new use cases. However, as we move beyond 5G (B5G), the challenges and opportunities are set to become even more significant, offering new, previously unimaginable services.AI in Wireless for Beyond 5G Networks provides a comprehensive overview of the use of AI in wireless communication for B5G networks. The authors draw on their expertise in the field to explore the latest developments in AI technologies and their applications in B5G wireless communication systems. The book discusses a wide range of topics, including enabling AI technologies, architecture, and applications of AI from smartphones, radio access networks (RANs), edge and core networks, and application service providers. It also discusses the trends in on-device AI for B5G networks.This book is written in an accessible style, making it an ideal resource for academics, researchers, and industry professionals in wireless communication. It provides valuable insights into the latest field trends and developments and practical possibilities for implementing AI technologies in wireless communication systems.Above all, this book is a testament to the power of collaboration and innovation in wireless communication. The authors' dedication and expertise have produced a valuable resource for anyone interested in the latest AI and wireless communication developments. This book will inspire and inform readers, and we highly recommend it to scholars interested in the future of AI in wireless communication.
Smart Vr/Ar/MR Systems for Professionals
Smart VR/AR/MR Systems for Professionals is a comprehensive guide that explores the ground-breaking applications of virtual reality (VR), augmented reality (AR), and mixed reality (MR) in various industries. This book aims to equip practicing professionals with the knowledge and insights they need to harness the full potential of these immersive technologies in their respective fields.Through this book, the authors aim to explore the experimental breakthroughs and cutting-edge methodologies that have emerged in the realm of VR/AR/MR. The book delves deeper into the profound impact these technologies have had on the design process, computer-aided design, healthcare product development, manufacturing, human-robot collaboration, medical imaging, rehabilitation, and even phobia therapy.In each chapter of this book, we delve into specific topics, uncovering the principles, methodologies, and best practices that professionals can adopt. Examples of these topics range from empowering design processes with virtual reality to revolutionizing computer-aided design, and from exploring AR/VR/MR technologies in healthcare to transforming manufacturing with digital twins and metrology in VR.The book aims to provide practitioners with valuable insights, real-world examples, and practical guidance to navigate the ever-evolving landscape of VR/AR/MR systems.
Intelligent Human Computer Interaction
This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Human Computer Interaction, IHCI 2023, held in Daegu, South Korea, during November 8-10, 2023.The 55 full papers and 16 short papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows: Volume I: Natural Language and Dialouge Systems, Affective Computing and Human Factors, Human Centred AI, Human-Robot Interaction and Intelligent Interfaces and User Centred Design.Volume II: AI and Big Data, Deep Learning, Intelligent Systems, Mobile Computing and Ubiquitous Interactions and Social Computing and Interactive Elements.
Quantum Artificial Intelligence with Qiskit
Quantum Artificial Intelligence (QAI) is a new interdisciplinary research field that combines quantum computing with Artificial Intelligence (AI), aiming to use the unique properties of quantum computers to enhance the capabilities of AI systems. Quantum Artificial Intelligence with Qiskit provides a cohesive overview of the field of QAI, providing the tools for readers to create and manipulate quantum programs on devices as accessible as a laptop computer.Introducing symbolical quantum algorithms, sub-symbolical quantum algorithms, and quantum Machine Learning (ML) algorithms, this book explains each process step by step with associated Qiskit listings. All examples are additionally available for download at https: //github.com/andrzejwichert/qai.Allowing readers to learn the basic concepts of quantum computing on their home computers, this book is accessible to both the general readership as well as students and instructors of courses relating to computer science and AI.
Machine Learning and Data Mining for Sports Analytics
This book constitutes the refereed proceedings of the 10th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2023, held in Turin, Italy, in September 2023.The 16 full papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Football/Soccer, Basketball, Other team sports, Individual sports.
Intelligent Human Computer Interaction
This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Human Computer Interaction, IHCI 2023, held in Daegu, South Korea, during November 8-10, 2023.The 55 full papers and 16 short papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows: Volume I: Natural Language and Dialouge Systems, Affective Computing and Human Factors, Human Centred AI, Human-Robot Interaction and Intelligent Interfaces and User Centred Design.Volume II: AI and Big Data, Deep Learning, Intelligent Systems, Mobile Computing and Ubiquitous Interactions and Social Computing and Interactive Elements.
Music Intelligence
This book constitutes the refereed proceedings of the Second Summit on Music Intelligence, SOMI 2023, held in Beijing, China, during October 28-30, 2023.The 10 full papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: Music, Neural Science and Music Therapy, Multimodality in Music and Music Generation.
The Ethics of Virtual and Augmented Reality
This book offers new ways of thinking about and assessing the impact of virtual reality on its users. It argues that we must go beyond traditional psychological concepts of VR "presence" to better understand the many varieties of virtual experiences.
Mastering Mlops Architecture: From Code to Deployment
MLOps, a combination of DevOps, data engineering, and machine learning, is crucial for delivering high-quality machine learning results due to the dynamic nature of machine learning data. This book delves into MLOps, covering its core concepts, components, and architecture, demonstrating how MLOps fosters robust and continuously improving machine learning systems. By covering the end-to-end machine learning pipeline from data to deployment, the book helps readers implement MLOps workflows. It discusses techniques like feature engineering, model development, A/B testing, and canary deployments. The book equips readers with knowledge of MLOps tools and infrastructure for tasks like model tracking, model governance, metadata management, and pipeline orchestration. Monitoring and maintenance processes to detect model degradation are covered in depth.
Mastering Cloud Storage
In today's data-driven world, cloud storage has emerged as an indispensable tool for businesses and individuals alike. With its ability to store and manage vast amounts of data seamlessly, cloud storage has revolutionized the way we handle information. However, navigating the complexities of cloud storage can be a daunting task. This is where this book steps in. Commence on a comprehensive journey through cloud computing fundamentals, exploring evolution, service models, and deployment strategies. Uncover diverse cloud storage technologies, including object, block, and file storage, and look into Amazon S3, Azure Blob Storage, and Google Cloud Storage. Learn to configure storage effectively, implement scalable solutions, and seamlessly integrate with applications. Master disaster recovery, data migration, and hybrid cloud architectures for optimal resource utilization.
The Potential of Generative AI
The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will learn how AI helps doctors, engineers, and scientists solve real-world problems. Next, you will explore use cases where ChatGPT can boost productivity and enhance creativity. The book explores the journey from the origins of this revolutionary technology to its cutting-edge applications. Discover how generative models like GANs and VAEs work, and familiarize yourself with the impact they are making in fields like healthcare, finance, and art. Through real-world case studies and engaging examples, you will witness AI generating life-saving drugs, composing music, and even designing innovative products.
Nexus
#1 NEW YORK TIMES BESTSELLER - From the author of Sapiens comes the groundbreaking story of how information networks have made, and unmade, our world. "Striking original . . . A historian whose arguments operate on the scale of millennia has managed to capture the zeitgeist perfectly."--The Economist "This deeply important book comes at a critical time as we all think through the implications of AI and automated content production. . . . Masterful and provocative."--Mustafa Suleyman, author of The Coming Wave For the last 100,000 years, we Sapiens have accumulated enormous power. But despite all our discoveries, inventions, and conquests, we now find ourselves in an existential crisis. The world is on the verge of ecological collapse. Misinformation abounds. And we are rushing headlong into the age of AI--a new information network that threatens to annihilate us. For all that we have accomplished, why are we so self-destructive? Nexus looks through the long lens of human history to consider how the flow of information has shaped us, and our world. Taking us from the Stone Age, through the canonization of the Bible, early modern witch-hunts, Stalinism, Nazism, and the resurgence of populism today, Yuval Noah Harari asks us to consider the complex relationship between information and truth, bureaucracy and mythology, wisdom and power. He explores how different societies and political systems throughout history have wielded information to achieve their goals, for good and ill. And he addresses the urgent choices we face as non-human intelligence threatens our very existence. Information is not the raw material of truth; neither is it a mere weapon. Nexus explores the hopeful middle ground between these extremes, and in doing so, rediscovers our shared humanity.
AI and ML for Coders
Are you ready to unlock the transformative power of Artificial Intelligence (AI) and Machine Learning (ML) in your coding projects? "AI and ML for Coders" is the essential guide for coders who want to leap into the future of technology.This book is tailored for programmers, developers, and tech enthusiasts eager to integrate AI and ML into their work. Whether you're a seasoned coder or just starting, you'll find invaluable insights and practical knowledge to elevate your craft.Here's what you'll gain from "AI and ML for Coders" A comprehensive understanding of AI and ML evolution, from historical milestones to cutting-edge techniques.A deep dive into the core concepts, terminology, and ethical considerations that every coder must know.Hands-on guidance on choosing the right tools, libraries, and programming languages for your AI and ML projects.Expert strategies for data preparation, preprocessing, and selecting the most effective algorithms for different tasks.Real-world applications and case studies demonstrate AI and ML's power in coding.Key features include: Clear explanations of supervised, unsupervised, and reinforcement learning.Exploration of neural networks, deep learning, natural language processing, and computer vision.Practical advice on navigating the ethical landscape of AI to develop responsible and trustworthy applications.Authored by a seasoned expert in the field, "AI and ML for Coders" is your roadmap to mastering AI and ML. It's not just a book; it's an investment in your future as a coder in an AI-driven world.Take advantage of the opportunity to be at the forefront of the AI revolution. Take the next step and add "AI and ML for Coders" to your library today. Your journey into the realm of AI and ML starts here!
When Machines Learn
Discover the Dawn of a New Era: The Ties Between Artificial Intelligence and Our FutureImagine a world where every aspect of life is enhanced by artificial intelligence-our jobs, our ethical decisions, and even the way we interact with one another. "When Machines Learn: AI and the Transformation of Society" is a gripping exploration of this not-so-distant future, where AI is not only a tool but a transformative force reshaping every facet of human existence.Dive into the heart of innovation with the pioneering journey through the evolution of artificial intelligence. Unravel the mysteries of its fundamentals and witness history unfold, as AI advances from primitive concepts to sophisticated systems that seamlessly integrate into our daily lives. Take a front-seat tour of the most groundbreaking applications that are setting the stage for a revolution.With humanity at a critical crossroads, explore the intricate dance between AI and its impact on the workforce. Jobs will evolve, industries will be reborn, and a new skilled labor market will rise from the ashes of automation. This book peels back layers of fear and uncertainty, revealing the silver lining of opportunities that lie ahead.Yet, this brave new world comes with its moral dilemmas. Delve into the heart of AI's ethical considerations, addressing the challenging questions of bias, equality, and the importance of transparent and accountable systems. What are the implications for privacy in a data-driven world? How do we navigate the tightrope between technological advancement and the protection of individual rights?Discover how AI will shape the future of humanity, not just through technological prowess but by redefining the core of societal values. Human-AI collaboration paints a vivid picture of enhanced human capabilities, while case studies of AI-driven innovation showcase the explosive potential at our fingertips.The book casts a gaze upon the global stage, examining international policies and the geopolitical race for AI supremacy. It shows us how artificial intelligence can redefine the way we live our daily lives, from personalized experiences to groundbreaking strides in health, education, and transportation.Prepare yourself with knowledge to face the imminent AI future. If you're curious about how AI will disrupt, reconstruct, and innovate the world as we know it, this book is your essential guide to understanding and embracing the AI revolution. Step into the pages of "When Machines Learn" and navigate the boundless possibilities of tomorrow.
NFT in ME
NFT in ME - Empowering Innovation in HealthcareImagine a future where healthcare is no longer reactive but proactive, where diseases are detected and treated at the earliest stages, and where personalized treatment plans are tailored to an individual's unique genetic makeup and lifestyle factors.This book sheds light on their transformative power in safeguarding and harnessing the value of healthcare data. As well as the groundbreaking intersection of blockchain technology and healthcare. With the emergence of NFTs, the relationship between patients, healthcare providers, and pharmaceutical companies is slowly being reshaped. From secure tracking of patient records to the facilitation of groundbreaking medical research, NFTs have the potential to revolutionize the pharmaceutical industry.'NFT in Me' serves as a visionary guide, bridging the worlds of healthcare and blockchain technology. Whether you are a healthcare professional, researcher, patient advocate, or simply curious about the future of healthcare, this book provides invaluable insights into the potential of NFTs to catalyze a transformative revolution in healthcare data management and value exchange.Author's Note: This book is not intended only for healthcare professionals but, rather, for readers of all ages, backgrounds, and levels of education. The views expressed are the writer's own and are constructed on his interpretation of both academic research and life experience.About the author: With a visionary approach and vast experience, Sam Amory drives transformative change at the intersection of healthcare, management, and technology. A senior executive with over two decades in the public and private healthcare sectors globally, he has spearheaded innovative solutions and leveraged data-driven insights in management.Combining his medical background with a keen business acumen, he is a sought-after speaker at industry conferences and has published articles on the intersection of healthcare, management, and IT. He is a passionate advocate for leveraging patient-centred care in an increasingly digital world.
AI Ethics
Exploring the mind boggling landscape of computer based intelligence morals requires an insightful and comprehensive methodology that recognizes the unique transaction between innovation, society, and ethical quality. This investigation dives into the groundworks of artificial intelligence morals, looking at the authentic setting of moral systems and the significant job reasoning plays in forming moral contemplations inside the domain of man-made brainpower. . The computerized moral scene, continually formed by mechanical headways and cultural movements, presents a nuanced outline of the moral difficulties innate in artificial intelligence. The source of inspiration arises, asking people, associations, and policymakers to focus on moral contemplations. This includes implanting moral standards in the plan stage, advancing straightforwardness, and cultivating a culture of ceaseless transformation to address arising difficulties. The advancement of artificial intelligence morals unfurls against the background of authentic and social settings. The fluctuated moral contemplations across societies require a worldwide point of view, stressing the significance of coordinated effort and normalization in simulated intelligence morals. Tending to predispositions inside computer based intelligence calculations turns into a basic point of convergence, with a call for drives that effectively balance and redress inclinations to guarantee decency and inclusivity. Security concerns and information insurance arise as vital contemplations, featuring the fragile harmony between the advantages of information driven artificial intelligence and the security of individual protection freedoms. Independent navigation presents new moral aspects, inciting a reflection on the requirement for significant human command over man-made intelligence frameworks and powerful responsibility structures. Straightforwardness and reasonableness challenges in simulated intelligence frameworks become apparent, stressing the significance of clear correspondence about algorithmic dynamic cycles. As the story unfurls, the moral ramifications of human-artificial intelligence connection come to the very front. Guaranteeing significant human command over computer based intelligence frameworks becomes basic, upholding for plans that increase human abilities while regarding human office. Incorporating human qualities into man-made intelligence configuration turns into a crucial viewpoint, underscoring the requirement for innovation to line up with cultural assumptions and moral standards. The investigation reaches out to the domain of guideline and administration, where the significance of thorough lawful structures is underscored. The outline of existing simulated intelligence guidelines and rules highlights the requirement for versatile and adaptable measures that stay up with the advancing idea of computer based intelligence innovations. Challenges in upholding moral guidelines brief a reflection on the need of successful administration components to guarantee mindful man-made intelligence improvement.
Neural Network Computer Vision with OpenCV 5
Neural Network Computer Vision with OpenCV equips you with professional skills and knowledge to build intelligent vision systems using OpenCV. It creates a sequential pathway for understanding morphological operations, edge and corner detection, object localization, image classification, segmentation, and advanced applications like face detection and recognition, and optical character recognition. This book offers a practical roadmap to explore the nuances of image processing with detailed discussions on each topic, supported by hands-on Python code examples. The readers will learn the basics of neural networks, deep learning and CNNs by using deep learning frameworks like Keras, Tensorflow, PyTorch, Caffe etc. They will be able to utilize OpenCV DNN module to classify images by using models like Inception V3, Resnet 101, Mobilenet V2. Moreover, the book will help to successfully Implement object detection using YOLOv3, SSD and R-CNN models.
Innovative Marvels
In the consistently developing scene of mechanical headway, a bunch of imaginative wonders is arising, promising to shape our future in manners beforehand unbelievable. These weighty innovations reclassify our regular routines as well as hold the possibility to address squeezing worldwide difficulties and change the actual texture of human life. At the bleeding edge of this mechanical transformation is man-made consciousness (computer based intelligence), a wonder that keeps on pushing the limits of what machines can accomplish. From AI calculations that examine tremendous datasets to normal language handling frameworks that comprehend and answer human discourse, artificial intelligence is penetrating different areas. Its applications range from customized medical care and independent vehicles to prescient investigation and brilliant urban areas, upsetting how we associate with the world and one another. The combination of man-made intelligence with the Web of Things (IoT) makes a harmonious relationship that enhances the potential for network and robotization. IoT consistently incorporates gadgets, sensors, and frameworks, empowering continuous information trade and direction. Savvy homes, where gadgets convey and adjust to client inclinations, and modern IoT, enhancing fabricating processes, are simply looks at the groundbreaking force of this interconnected web. Headways in biotechnology and genomics are opening the mysteries of life itself. CRISPR quality altering innovation, for example, offers exceptional accuracy in adjusting DNA, possibly destroying genetic sicknesses and reforming clinical therapies. Customized medication, custom-made to a person's hereditary cosmetics, is not too far off, promising more powerful and designated medical services arrangements. Sustainable power advancements are reshaping our way to deal with power age and utilization. Developments in sun powered and wind energy, combined with energy capacity arrangements, are driving us toward a supportable future. Shrewd matrices, fit for adjusting energy interest and supply progressively, are proclaiming a change in outlook by they way we bridle and disseminate power. Blockchain, at first known for fueling digital currencies, is developing into an extraordinary power in different enterprises. Its decentralized and secure nature holds guarantee for straightforward stockpile chains, carefully designed casting a ballot frameworks, and smoothed out monetary exchanges. The possible utilizations of blockchain are immense, offering an establishment for an additional impartial and secure computerized future. Quantum figuring, still in its early stages, remains on the cusp of altering calculation. Utilizing the standards of quantum mechanics, quantum PCs can possibly take care of mind boggling issues dramatically quicker than old style PCs. This could have significant ramifications for fields like cryptography, improvement, and medication disclosure, pushing the limits of human information and capacity.As these imaginative wonders keep on advancing, moral contemplations and dependable advancement become central. Finding some kind of harmony among progress and moral ramifications is vital to guarantee that these advances benefit mankind without unseen side-effects. The capable sending of these wonders is an aggregate undertaking that includes policymakers, researchers, and society at large.
DevOps Design Pattern
DevOps design patterns encompass a set of best practices aimed at revolutionizing the software development lifecycle. It introduces a collaborative and streamlined approach to bring together different aspects of development, testing, deployment, and operations. At its core, DevOps seeks to break down traditional silos between these functions, fostering a culture of cooperation and continuous communication among teams. This interconnectivity enables faster, higher-quality software delivery by eliminating bottlenecks. DevOps best practices offer significant benefits to DevOps engineers, enhancing their effectiveness and efficiency. Examine best practices for version control and dynamic environments closely, learn how to "build once, deploy many," and master the art of continuous integration and delivery (CI/CD), reducing manual intervention and minimizing errors. Each chapter equips you with actionable insights, guiding you through automated testing, robust monitoring, and effective rollback strategies.
Emerging Topics in Pattern Recognition and Artificial Intelligence
The unique compendium covers a wide range of recent advanced contributions in Pattern Recognition and Artificial Intelligence, both in theoretical aspects and applications. It highlights the importance of Deep Learning in various domains, from acquisition to Decision Making.Written by world renowned contributors, this high-quality research works presents case studies that can potentially help them find approaches and resources to address their scientific problems.It is a useful reference text for professionals, researchers, academics and graduate students in the fields of artificial intelligence, machine learning and deep learning.
Synthetic Data
The book concentrates on the impact of digitalization and digital transformation technologies on the Industry 4.0 and smart factories, how the factory of tomorrow can be designed, built, and run virtually as a digital twin likeness of its real-world counterpart, before the physical structure is actually erected.It highlights the main digitalization technologies that have stimulated the Industry 4.0, how these technologies work and integrate with each other, and how they are shaping the industry of the future.It examines how multimedia data and digital images in particular are being leveraged to create fully virtualized worlds in the form of digital twin factories and fully virtualized industrial assets. It uses BMW Group's latest SORDI dataset (Synthetic Object Recognition Dataset for Industry), i.e., the largest industrial images dataset to-date and its applications at BMW Group and Idealworks, as one of the main explanatory scenarios throughout the book.It discusses the need of synthetic data to train advanced deep learning computer vision models, and how such datasets will help create the "robot gym" of the future: training robots on synthetic images to prepare them to function in the real world.
Digital Transformation in Policing: The Promise, Perils and Solutions
This book shares essential insights into how the social sciences and technology could foster new advances in managing the complexity inherent to the criminal and digital policing landscape. Said landscape is both dynamic and intricate, emanating as it does from crimes that are both persistent and transnational. Globalization, human and drug trafficking, cybercrime, terrorism, and other forms of transnational crime can have significant impacts on societies around the world. This necessitates a reassessment of what crime, national security and policing mean. Recent global events such as human and drug trafficking, the COVID-19 pandemic, violent protests, cyber threats and terrorist activities underscore the vulnerabilities of our current security and digital policing posture.This book presents concepts, theories and digital policing applications, offering a comprehensive analysis of current and emerging trends in digital policing. Pursuing an evidence-based approach, itoffers an extraordinarily perceptive and detailed view of issues and solutions regarding the crime and digital policing landscape. To this end, it highlights current technological and methodological solutions as well as advances concerning integrated computational and analytical solutions deployed in digital policing. It also provides a comprehensive analysis of the technical, ethical, legal, privacy and civil liberty challenges stemming from the aforementioned advances in the field of digital policing; and accordingly, offers detailed recommendations supporting the design and implementation of best practices including technical, ethical and legal approaches when conducting digital policing. The research gathered here fits well into the larger body of work on various aspects of AI, cybersecurity, national security, digital forensics, cyberterrorism, ethics, human rights, cybercrime and law. It provides a valuable reference for law enforcement, policymakers, cybersecurity experts, digital forensic practitioners, researchers, graduates and advanced undergraduates, and other stakeholders with an interest in counter-terrorism. In addition to this target audience, it offers a valuable tool for lawyers, criminologist and technology enthusiasts.
Generative AI For Business Leaders
Byte-sized Learning AI series by Now Next Later AI: Practical guides providing senior decision-makers with a clear, accessible roadmap for harnessing the power of generative AI, enhancing innovation, and boosting business outcomes.Save by buying the entire 3 book series in one single collection: Generative AI Transformation Blueprint Drawing on insights from leading consultancies and input from both established and rising leaders in the AI field, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation.Spanning across areas from strategic alignment and talent development to ethical governance and sustaining competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal generative AI roadmap.Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and HypeShortlisted for the 2023 HARVEY CHUTE Book Awards recognizing emerging talent and outstanding works in the genre of Business and Enterprise Non-Fiction.Explore the transformative potential of technologies like GPT-4 and Claude 2. These large language models (LLMs) promise to reshape how businesses operate. Aimed at non-technical business leaders, this guide offers a pragmatic approach to leveraging LLMs for tangible benefits, while ensuring ethical considerations aren't sidelined.LLMs can refine processes in marketing, software development, HR, R&D, customer service, and even legal operations. But it's essential to approach them with a balanced view. In this guide, you'll: Learn about the rapid advancements of LLMs.Understand complex concepts in simple terms.Discover practical business applications.Get strategies for smooth integration.Assess potential impacts on your team.Delve into the ethics of deploying LLMs.With a clear aim to inform rather than influence, this book is your roadmap to adopting LLMs thoughtfully, maximizing benefits, and minimizing risks. Let's move beyond the noise and understand how LLMs can genuinely benefit your business.Artificial Intelligence Fundamentals for Business Leaders: Up to Date With Generative AIThe perfect guide to help non-technical business leaders understand the power of AI.More Than a CollectionBy purchasing this series, you will also be granted access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion with other readers.You will also receive 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion.AI Academy by Now Next Later AIWe are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically.
Open-Set Text Recognition
In real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the capability to detect and adapt to novel characters incrementally. Researchers refer to these challenges as the Open-Set Text Recognition (OSTR) task, which has, in recent years, emerged as one of the prominent issues in the field of text recognition. This book begins by providing an introduction to the background of the OSTR task, covering essential aspects such as open-set identification and recognition, conventional OCR methods, and their applications. Subsequently, the concept and definition of the OSTR task are presented encompassing its objectives, use cases, performance metrics, datasets, and protocols. A general framework for OSTR is then detailed, composed of four key components: The Aligned Represented Space, the Label-to-Representation Mapping, the Sample-to-Representation Mapping, and the Open-set Predictor. In addition, possible implementations of each module within the framework are discussed. Following this, two specific open-set text recognition methods, OSOCR and OpenCCD, are introduced. The book concludes by delving into applications and future directions of Open-set text recognition tasks.This book presents a comprehensive overview of the open-set text recognition task, including concepts, framework, and algorithms. It is suitable for graduated students and young researchers who are majoring in pattern recognition and computer science, especially interdisciplinary research.
Learn LLVM 17 - Second Edition
Learn how to build and use the complete spectrum of real-world compilers, including the frontend, optimization pipeline, and a new backend by leveraging the power of LLVM core librariesKey Features- Get to grips with using LLVM libraries step by step- Understand the high-level design of LLVM compilers and apply these principles to your own compiler- Add a new backend to target an unsupported CPU architecture- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionLLVM was built to bridge the gap between the theoretical knowledge found in compiler textbooks and the practical demands of compiler development. With a modular codebase and advanced tools, LLVM empowers developers to build compilers with ease. This book serves as a practical introduction to LLVM, guiding you progressively through complex scenarios and ensuring that you navigate the challenges of building and working with compilers like a pro.The book starts by showing you how to configure, build, and install LLVM libraries, tools, and external projects. You'll then be introduced to LLVM's design, unraveling its applications in each compiler stage: frontend, optimizer, and backend. Using a real programming language subset, you'll build a frontend, generate LLVM IR, optimize it through the pipeline, and generate machine code. Advanced chapters extend your expertise, covering topics such as extending LLVM with a new pass, using LLVM tools for debugging, and enhancing the quality of your code. You'll also focus on just-in-time compilation issues and the current state of JIT-compilation support with LLVM. Finally, you'll develop a new backend for LLVM, gaining insights into target description and how instruction selection works.By the end of this book, you'll have hands-on experience with the LLVM compiler development framework through real-world examples and source code snippets.What you will learn- Configure, compile, and install the LLVM framework- Understand how the LLVM source is organized- Discover what you need to do to use LLVM in your own projects- Explore how a compiler is structured, and implement a tiny compiler- Generate LLVM IR for common source language constructs- Set up an optimization pipeline and tailor it for your own needs- Extend LLVM with transformation passes and clang tooling- Add new machine instructions and a complete backendWho this book is forThis book is for compiler developers, enthusiasts, and engineers new to LLVM. C++ software engineers looking to use compiler-based tools for code analysis and improvement, as well as casual users of LLVM libraries who want to gain more knowledge of LLVM essentials will also find this book useful. Intermediate-level experience with C++ programming is necessary to understand the concepts covered in this book.Table of Contents- Installing LLVM- The Structure of a Compiler- Turning the Source File into an Abstract Syntax Tree- Basics of IR Code Generation- IR Generation for High-Level Language Constructs- Advanced IR Generation- Optimizing IR- The TableGen Language- JIT Compilation- Debugging Using LLVM Tools- The Target Description- Instruction Selection- Beyond Instruction Selection
The Rise of Artificial Intelligence Impact on Industries and Society
The excursion through "The Ascent of Man-made consciousness: Effect on Enterprises and Society" is an enrapturing investigation that navigates the scenes of mechanical development, cultural change, and moral contemplations. This far reaching investigation unfurls across a progression of sections, each digging into unmistakable features of Man-made reasoning (simulated intelligence) that on the whole shape the story of our mechanical future. Beginning with the essential sections on the advancement and meanings of computer based intelligence, the account spreads out the verifiable embroidery of this groundbreaking innovation. From its conceptualization to contemporary forward leaps in AI and profound learning, the parts enlighten the unique exchange of logical request, mechanical headways, and the cultural effect of man-made intelligence. As the story advances, key ideas and wording act as the etymological framework, offering perusers a common language to explore the complexities of computer based intelligence - from directed figuring out how to brain organizations. The underpinnings of simulated intelligence are divulged in lovely detail, explaining the collaboration between information, calculations, and computational power. The parts on AI and profound learning arise as powerful motors impelling simulated intelligence's groundbreaking potential, exhibiting its flexibility and viability in tending to complex difficulties. The investigation of brain organizations and calculations digs into the complicated components that support simulated intelligence direction, disentangling the refinement that characterizes the innovation's abilities. The story then consistently changes into the advantageous connection between information, enormous information, and simulated intelligence. Here, the combination of computer based intelligence with sweeping datasets becomes the overwhelming focus, impelling progressions that reclassify how associations gather experiences, make expectations, and enhance tasks in the time of data overflow. The parts committed to computer based intelligence in different businesses, like medical care, money, assembling, and farming, feature the innovation's extraordinary touch, reshaping processes, improving productivity, and driving advancement across assorted areas. In imagining a human-driven man-made intelligence future, the finishing up sections welcome perusers to ponder a worldview where computer based intelligence isn't just a device however a compassionate partner. This future-situated investigation stresses inclusivity, straightforwardness, and personalization, preparing for an agreeable mix of man-made intelligence into the structure holding the system together. The source of inspiration reverberations all through the story, encouraging policymakers, industry pioneers, scientists, the labor force, promotion gatherings, teachers, and people in general to effectively partake in forming a future where man-made intelligence adjusts consistently with human qualities. Basically, this investigation remains as a demonstration of the groundbreaking capability of simulated intelligence, approaching partners from different domains to on the whole explore the moral aspects, cultural ramifications, and open doors introduced by this significant innovative development. The story fills in as a compass, directing perusers through the complicated landscape of artificial intelligence, encouraging comprehension, and rousing a common obligation to capable and moral artificial intelligence improvement.
Artificial Intelligence
In a world where technology is advancing at an astounding rate, artificial intelligence (AI), machine learning (ML), and deep learning (DL) are leading the way in bringing about previously unheard-of changes to almost every aspect of our lives. Artificial intelligence (AI) has become ingrained in modern life, from smart homes anticipating our needs to modern medical diagnostics, demonstrating its indispensable role as a partner in human progress rather than merely an aid.With its title, "Artificial Intelligence: Harnessing the Power of Machine Learning and Deep Learning," the e-book seeks to serve as your introduction to this fascinating and ever-evolving world, where the limits of human capabilities are continually being pushed to the limit. Whether you are an experienced practitioner looking to expand your knowledge or a curious mind exploring this field for the first time, this thorough guide aims to provide insightful information.We will go on an insightful journey together in the upcoming chapters as we examine the complex web of ideas, advancements, and technologies that make up the field of artificial intelligence. We will discuss the algorithms that enable machines to learn from and forecast data as we delve deeply into machine learning principles. As we continue, we will delve deeper and deeper into the fascinating field of deep learning, a subset of machine learning that is described by neural networks that can remarkably mimic the functioning of the human brain
