Deep Learning Crash Course
Build AI Models from Scratch (No PhD Required) Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today's most powerful AI models from scratch. No experience with deep learning required! Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory. You'll start from the basics, and using PyTorch with real datasets, you'll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub. You'll build and train models to: Classify and analyze images, sequences, and time seriesGenerate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion modelsProcess natural language with recurrent neural networks and transformersModel molecules and physical systems with graph neural networksImprove continuously through reinforcement and active learningPredict chaotic systems with reservoir computingWhether you're an engineer, scientist, or professional developer, you'll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you'll move from using AI tools to creating them.
Tap In
The USA Today Featured Bestseller!Technology uplifts everything around us. Now it's time for it to empower you-it's time to Tap In.What would you do with an extra 20 hours a week and 30 percent more cash flow? So often we feel the things we want most, such as time with our family and friends or the opportunity to obtain new career skills, learn a hobby, or start a business, are impossibly out of reach. Yet here's an amazing truth. The tools you need to attain all this and more are available to you today.In Tap In, Paul Joffe reveals that AI is your gateway to a future of possibility. His step-by-step guide provides instructions for leveraging AI in your everyday life, covering twenty-five distinct categories from personal health and finance to turning ideas into businesses or authoring books. Learn to accomplish daily tasks much faster and with extensive monetary savings. You can achieve additional profound results with activities you've never had the time or resources to pursue-until now. In a few simple steps, you can: Manage your expenses efficiently and uncover significant savingsSolve household problems quickly without the cost of professional helpReach your fitness and nutrition objectives while spending less than ever before Unlock your creativity to achieve new levels of expertise and knowledge Discover new ways to connect with friends and family, and gain more time to spend with those you love Harness AI's capabilities to handle life's mundane tasks, fill your bank account, supercharge personal growth, and make time for what truly matters. Loaded with real-world examples and practical tips, Tap In demystifies AI and shows you how to make this powerful tool work for you.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Mastering AI
A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI's impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes. Continuing a process begun by the internet, AI will rewire our brains, likely inhibiting our ability to think critically, to remember, and even to get along with one another--unless we all take decisive action to prevent this from happening. Much as Michael Lewis's classic The New New Thing offered a prescient, insightful, and eminently readable account of life inside the dot-com bubble, Mastering AI delivers much-needed guidance for anyone eager to understand the AI boom--and what comes next.
Mastering Salesforce Experience Cloud
Your guide to unlocking business potential and technical mastery with essential to advanced strategies for launching and maintaining top-tier Experience Cloud sites effortlesslyKey Features: - Empower your team and your organization to lead and maintain an Experience Cloud transformation- Master out-of-the-box Experience Cloud features, custom development options, and development best practices- Curate a consumer-friendly Experience Cloud site that maximizes value for your company, while keeping maintenance costs low- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Empowering your target audience to interact effortlessly with you and your product offerings is a critical aspect of business in the modern era. Users expect easy, professional digital experiences when engaging with organizations. However, creating engagement applications from scratch is challenging, and connecting user behavior with your organization's data is even more complex.Enter Salesforce Experience Cloud sites, website portals built on the Salesforce data model that seamlessly connects your user data to your user experience. Mastering Salesforce Experience Cloud focuses on the human-centric nature of this product, beginning with a comprehensive guide on designing for your organization's desired users and ensuring success for both internal teams and end users. After exploring the real-world applications of Experience Cloud and reviewing license models, this book provides a beginning-to-end guide to mastering the technical backend of this product, covering both out-of-the-box settings and customization techniques.By the end of this book, you'll have gained a deep understanding of the Experience Cloud data model and customization options to create engaging, user-centric digital experiences that deliver value to your organization and stakeholders.What You Will Learn: - Define your audience and identify your overall strategy for an Experience Cloud site- Understand the technical and operational strategy needed to support your site- Work with the Experience Cloud data model and standard template features- Determine when to use Visualforce, Aura, LWC, or LWR while exploring custom development options- Get to grips with the how Salesforce Flow and Triggers work- Leverage marketing automation, knowledge base, and communication in the site- Find out about site launch tactics, user creation, site moderation, and ongoing reportingWho this book is for: If you want to understand the intricacies of Salesforce Experience Cloud, transform your client experience, enhance your enterprise architecture, and create a scalable, world class-customer web experience that smoothly integrates with an existing Salesforce instance, this book is for you. Business leaders, IT leaders, Salesforce developers, Salesforce admins, and web teams tasked with delivering and maintaining an excellent, integrated Experience Cloud portal will benefit from this book. Ideal for readers with Salesforce experience in any cloud or a basic grasp of Service Cloud features.Table of Contents- Defining Your Digital Experience Strategy- Translating Your Audience and Interactions into Meaningful Technology Features- Technology Component Identification - Which Parts of Experience Cloud Do I Need?- Curating Data Models- Understanding Experience Cloud Templates- When to Use Aura Components, Lightning Web Components and Lightning Runtime Components- Leveraging Screen Flows versus Apex- Understanding Inputs - Emails, Chats, and Text Messages- Marketing Automation Setup(N.B. Please use the Read Sample option to see further chapters)
Artificial Psychoanalysis of Desiring Machines
Embark on an illuminating journey at the nexus of artificial psychology and the intricate tapestry of technology with August Moldenhauer's "Artificial Psychoanalysis of Desiring Machines." This thought-provoking 2023 hardcover edition compiles the entire three-volume series, "Artificial Psychology of Designing Machines," with a foreword by editor William Mitchell. Plunging into the uncharted depths of artificial general intelligence (AGI), Moldenhauer navigates the terrain of artificial psychology, a pivotal domain poised to define the trajectory of inquiry in the age of AGI. Through an intricate interplay of theories encompassing Lacanian psychoanalysis, Bergsonian memory, cinema theory, and the intricate technics of Stiegler, the narrative unfolds, revealing a comprehensive comprehension of galvanic flows drawn from the realm of electrical engineering. By unraveling the intricate relationship between computational complexity and the intricate dance of human and machine agency, this edition emerges as an experimental guide for those eager to grasp the complexities of a realm where artificial psychoanalysis is not a mere abstraction, but an imminent reality on the horizon. As the advent of AGI looms ever closer, Moldenhauer's work takes on the role of a guiding presence for scholars, thinkers, and researchers, urging them to shape the discourse that will underpin the inevitable convergence of artificial and human cognition.
Application Lifecycle Management on Microsoft Power Platform
Implement modern DevOps techniques in the Power Platform to boost business and maker productivityKey Features: - Demystify ALM concepts and how they apply to Microsoft Power Platform Application Lifecycle Management on Microsoft Power Platform- Define the best strategy for possible solutions, source code, and environments- Automate build and deployment tasks using Azure DevOps and GitHub- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Managing Power Platform solutions manually can be challenging and time-consuming, as is application lifecycle management (ALM), which encompasses governance, development, and maintenance. This book provides comprehensive coverage of ALM, addressing planning, development, testing, deployment, and maintenance. Drawing on his extensive experience as a Power Platform consultant and Microsoft MVP, Benedikt Bergmann simplifies complex topics, making them accessible and easy to grasp.From planning and designing applications to deploying and maintaining them, this book provides step-by-step instructions, best practices, and real-world examples to effectively manage the entire application lifecycle. You'll gain insights into optimizing Power Platform's toolbox, including Power Apps, Power Automate, Power Pages, and Power Virtual Agents, for seamless collaboration, agile development, and rapid application delivery. You'll also implement best practices for version control, code management, and collaboration using the Microsoft Power Platform.By the end of this book, you'll be equipped with the knowledge and skills to effectively manage the entire application lifecycle, accelerate development cycles, and deliver exceptional solutions with the Microsoft Power Platform.What You Will Learn: - Understand the importance of ALM in the context of Microsoft Power Platform- Leverage the Power Platform CLI to streamline ALM practices- Develop a comprehensive strategy for managing Power Platform environments- Explore techniques for defining robust Dataverse solutions for scalability and performance- Apply ALM concepts to Microsoft Power Platform- Use Managed Pipelines in managed Power Platform environments- Implement a source-code-centric approach with Azure DevOps Pipelines and GitHub ActionsWho this book is for: If you are involved in managing the deployment of Microsoft Power Platform solutions, whether as a solution architect, developer, functional consultant, or DevOps specialist, this book is for you. Familiarity with Power Platform is recommended.Table of Contents- An Intro to ALM- ALM in Power Platform- Power Platform Environments - Dataverse Solutions- Power Platform CLI- Environment Variables, Connection References, and Data- Approaches to Managing Changes in Power Platform ALM- Essential ALM Tooling for Power Platform- Project Setup- Pipelines- Advanced Techniques- Continuous Integration/Continuous Delivery- Deepening ALM Knowledge
Human Information Interaction
A fresh research approach that bridges the study of human information interaction and the design of information systems. Human information interaction (HII) is an emerging area of study that investigates how people interact with information; its subfield human information behavior (HIB) is a flourishing, active discipline. Yet despite their obvious relevance to the design of information systems, these research areas have had almost no impact on systems design. One issue may be the contextual complexity of human interaction with information; another may be the difficulty in translating real-life and unstructured HII complexity into formal, linear structures necessary for systems design. In this book, Raya Fidel proposes a research approach that bridges the study of human information interaction and the design of information systems: cognitive work analysis (CWA). Developed by Jens Rasmussen and his colleagues, CWA embraces complexity and provides a conceptual framework and analytical tools that can harness it to create design requirements. CWA offers an ecological approach to design, analyzing the forces in the environment that shape human interaction with information. Fidel reviews research in HIB, focusing on its contribution to systems design, and then presents the CWA framework. She shows that CWA, with its ecological approach, can be used to overcome design challenges and lead to the development of effective systems. Researchers and designers who use CWA can increase the diversity of their analytical tools, providing them with an alternative approach when they plan research and design projects. The CWA framework enables a collaboration between design and HII that can create information systems tailored to fit human lives.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Securing Enterprise Networks with Cisco Meraki
Securing Enterprise Networks with Cisco Meraki Discover the Power of Cisco Meraki Unlock the full potential of Cisco Meraki with this in-depth guide, designed to help you build and secure modern, cloud-managed networks. Cisco Meraki offers a unique, cloud-managed IT platform that integrates seamlessly with Cisco's traditional products and other third-party tools. Whether you're a new Meraki customer, an experienced network engineer, or an IT manager looking to streamline operations, this book provides you with the knowledge and practical steps needed to secure enterprise networks effectively. In a world where cybercrime is an ever-present threat, Meraki's cloud-managed solutions offer a robust alternative to traditional wired and wireless networks. This book not only introduces you to the fundamentals of Meraki but also dives deep into advanced security configurations, industry best practices, and real-world use cases. By the end of this book, you'll be equipped to implement Meraki solutions that meet stringent IT security standards and frameworks, ensuring your network is not just operational but resilient and secure. With this book as your guide, you will gain the skills to deploy secure, cloud-managed networks using Cisco Meraki. You will learn Meraki's History: Understand the evolution of Meraki from a research project at MIT to a key player in Cisco's portfolio. Security Frameworks and Industry Best Practices: Learn about the essential IT security standards and frameworks and how Meraki can help you meet these requirements. Meraki Dashboard and Trust: Get familiar with the Meraki management portal and understand the considerations for adopting cloud-managed infrastructure. Role-Based Access Control (RBAC): Discover how to implement RBAC to enforce the principle of least privilege within your network. Securing Administrator Access to Meraki Dashboard: Master the configuration of strong authentication methods, including multifactor authentication (MFA) and SAML single sign-on (SSO). Security Operations: Explore the native Meraki tools and external solutions for compliance reporting, centralized logging, and incident response. User Authentication: Delve into the setup of authentication infrastructures supporting wired, wireless, and VPN access, including Meraki Cloud Authentication, SAML, and RADIUS. Wired and Wireless LAN Security: Learn how to secure your LAN with features like 802.1X authentication, firewalling, and adaptive policies.
Understanding Machine Understanding
This is a comprehensive and thought-provoking exploration of the nature of machine understanding, its evaluation, and its implications. The book proposes a new framework, the Multifaceted Understanding Test Tool (MUTT), for assessing machine understanding across multiple dimensions, from language comprehension and logical reasoning to social intelligence and metacognition. Through a combination of philosophical analysis, technical exposition, and narrative thought experiments, the book delves into the frontiers of machine understanding, raising fundamental questions about the cognitive mechanisms and representations that enable genuine understanding in both human and machine minds. By probing the boundaries of artificial comprehension, the book aims to advance our theoretical grasp on the elusive notion of understanding and inform responsible development and deployment of AI technologies. In an era where Artificial Intelligence systems are becoming integral to our daily lives, a pressing question arises: Do these machines truly understand what they are doing, or are they merely sophisticated pattern matchers? "Understanding Machine Understanding" delves into this profound inquiry, exploring the depths of machine cognition and the essence of comprehension. Join Ken Clements and Claude 3 Opus on an intellectual journey that challenges conventional benchmarks like the Turing Test and introduces the innovative Multifaceted Understanding Test Tool (MUTT). This groundbreaking framework assesses AI's capabilities across language, reasoning, perception, and social intelligence, aiming to distinguish genuine understanding from mere imitation. Through philosophical analysis, technical exposition, and engaging narratives, this book invites readers to explore the frontiers of AI comprehension. Whether you're an AI researcher, philosopher, or curious observer, "Understanding Machine Understanding" offers a thought-provoking guide to the future of human-machine collaboration. Discover what it truly means for a machine to understand--and the implications for our shared future.
Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond - Third Edition
Leverage Azure's storage, security, networking, and compute services to ace the AZ-104 exam and excel in your daily tasksPurchase of this book unlocks access to web-based exam prep resources such as mock exams, flashcards, exam tips, and the eBook PDFKey Features: - Prepare for the AZ-104 exam with the latest exam objectives and content- Gain hands-on Azure experience with practical labs for real-world administrative tasks- Assess your exam readiness with challenging mock examsBook Description: Take the first step toward excellence in Azure management and achieving Microsoft certification with this practical guide!This third edition of Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond offers comprehensive insights and clear, step-by-step instructions that follow the latest AZ-104 exam objectives. You'll work your way from foundational topics such as Azure identity management and governance to essential skills such as deploying and managing storage solutions, configuring virtual networks, and effectively monitoring Azure resources. Each chapter is equipped with practice questions to reinforce your understanding and enhance your practical skills. The book also provides you with access to online mock exams, interactive flashcards, and expert exam tips, guaranteeing that you pass with flying colors.By the end of this book, you'll not only be equipped to pass the AZ-104 exam but also possess the expertise needed to expertly manage Azure environments.What You Will Learn: - Manage Azure AD users, groups, and RBAC- Handle subscription management and governance implementation- Customize and deploy Azure Resource Manager templates- Configure containers and Azure app services- Manage and secure virtual networks comprehensively- Utilize Azure Monitor for resource monitoring- Implement robust backup and recovery solutionsWho this book is for: This book is for cloud administrators, engineers, and architects looking to understand Azure better and get a firm grasp on administrative functions or anyone preparing to take the Microsoft Azure Administrator (AZ-104) exam. A basic understanding of the Azure platform is needed, but astute readers can comfortably learn all the concepts without having worked on the platform before by following all the examples present in the book.Table of Contents- Managing Microsoft Entra ID Objects- Devices in Microsoft Entra ID- Managing Role-Based Access Control in Azure- Creating and Managing Governance- Managing Governance and Costs- Understanding Storage Accounts- Copying Data To and From Azure- Securing Storage- Storage Management and Replication- Azure Resource Manager Templates- Azure Bicep- Understanding Virtual Machines- Managing Virtual Machines- Creating and Configuring Containers- Creating and Configuring App Service- Implementing and Managing Virtual Networking- Securing Access to Virtual Networks- Configuring Load Balancing- Integrating On-Premises Networks with Azure- Monitoring and Troubleshooting Virtual Networking- Monitoring Resources with Azure Monitor- Implementing Backup and Recovery Solutions
AWS Cloud Engineer Guide
DESCRIPTION Cloud computing provides a more efficient, reliable, secure, and cost-effective way to run applications. Cloud computing offers customers access to rapidly growing amounts of data storage and computation resources while centralizing IT operations in the cloud provider's datacenter or in colocation data centers.Understand AWS basics such as EC2, VPCs, S3, and IAM while learning to design secure and scalable cloud architectures. This book guides you through automating infrastructure with CloudFormation and exploring advanced topics like containers, continuous integration and continuous delivery (CI/CD) pipelines, and cloud migration. You will also discover serverless computing with Lambda, API Gateway, and DynamoDB, enabling you to build efficient, modern applications. With real-world examples and best practices, this resource helps you optimize your AWS environment for both performance and cost, ensuring you can build and maintain robust cloud solutions.By the end of this book, you will be able to confidently design, build, and operate scalable and secure cloud solutions on AWS. Gain the expertise to leverage the full potential of cloud computing and drive innovation in your organization.WHAT YOU WILL LEARN● How to get started with and launch EC2 instances. ● Working with and simplifying VPC's, security groups, and network access control lists on AWS.● Learn how to secure your AWS environment through the use of IAM roles and policies.● Learn how to build scalable and fault-tolerant database systems using AWS database services such as RDS and Aurora.● Learn how to set up a CI/CD pipeline on AWS.WHO THIS BOOK IS FORWhether you are a system administrator, cloud architect, solutions architect, cloud engineer, DevOps engineer, security engineer, or cloud professional, this book provides valuable insights and practical guidance to help you build and operate robust cloud solutions on AWS.
Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide
Boost your Azure career by mastering essential data concepts and cloud services with this pragmatic guidePurchase of this book unlocks access to web-based exam prep resources such as mock exams, flashcards, exam tips, and the eBook PDFKey Features: - Gain Azure certification insights from industry veteran and Microsoft MVP, Steve Miles- Dive into expertly crafted content aligned with the latest DP-900 exam requirements- Test your skills with mock exams that mirror the actual certification examBook Description: Microsoft's Azure Data Fundamentals (DP-900) certification exam validates your expertise in core data concepts and Azure's powerful data services capabilities. This comprehensive guide written by Steve Miles-a Microsoft Azure MVP and certified trainer with over 25 years of experience in cloud data services and 30+ certifications across major platforms-serves as your gateway to a future shaped by data and AI, regardless of your technical background.With the help of examples, you'll learn fundamental data concepts, including data representation, data storage options, and common workloads and gain clarity on the roles and responsibilities of key data professionals such as data administrators, engineers, and analysts. This guide covers all crucial exam domains, from data services capabilities of the Azure cloud platform to considerations for relational, non-relational, and analytics workloads, encompassing both Microsoft and open-source technologies.To supplement your exam prep, this book gives you access to a suite of online resources designed to boost your confidence, including mock tests, interactive flashcards, and invaluable exam tipsBy the end of this book, you'll be fully prepared not only to pass the DP-900 exam but also to confidently tackle data solutions in Azure, setting a strong foundation for your data-driven careerWhat You Will Learn: - Analyze features of structured, semi-structured, and unstructured data- Utilize Azure SQL and open-source database services confidently- Identify and evaluate Azure storage options- Understand the versatility of Azure Cosmos DB through use cases and APIs- Apply cutting-edge strategies for large-scale analytics in Azure- Master core data concepts crucial for Azure environments- Explore Microsoft's cloud services for real-time analytics- Demonstrate proficiency in data visualization using Power BIWho this book is for: This exam guide is designed for anyone who wants to work with Azure data services and prepare for the Azure DP-900 exam. Whether you're an administrator, engineer, architect, developer, analyst, aspiring data scientist, or a non-technical enthusiast interested in learning data concepts, this book is for you. It also lays the groundwork for those planning to pursue more advanced data or AI certifications.A foundational understanding of cloud concepts and client-server applications is assumed.Table of Contents- Describe Core Data Concepts- Describe Relational Concepts- Describe Relational Azure Data Services- Describe the Capabilities of Azure Storage- Describe the Capabilities and Features of Azure Cosmos DB- Describe the Common Elements of Large-Scale Analytics- Describe Consideration for Real-Time Data Analytics- Describe Data Visualization in Microsoft BI
Thrive
How AI can positively impact so many aspects of our daily lives, from health and wellness to work, education, and home life. Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life. In the process the authors help explain the underlying technology and give people the agency they need to shape the debate around how we should regulate AI to maximize its benefits and minimize its risks. Bringing over two decades of experience with cutting-edge research, consulting, executive coaching, and advising to bear on the subject, Bapna and Ghose demystify the technology of AI itself. They offer a novel "House of AI" framework that encompasses traditional analytics, generative AI, and fair and ethical deployment of AI. Using examples from everyday life, they showcase how the modern AI-powered ecosystem fundamentally improves the emotional, physical, and material well-being of regular people across the globe. Thrive's mission is to educate the public about AI, shape realistic expectations, and foster informed discussions about a fast-emerging AI-shaped society.
Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks
Sustainable Development Through Machine Learning, AI and Iot
This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27-28, 2024. The 38 full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: This volume encompassing a diverse array of topics at the intersection of cutting-edge technologies and practical applications. Each chapter delves into innovative approaches and solutions, providing valuable insights into contemporary challenges and opportunities in various domains. Here, we explore the realms of blockchain, data science, machine learning, artificial intelligence, and more, offering in-depth analyses and practical implementations.
Ultimate AWS Certified Solutions Architect Associate Exam Guide
Your Definitive Path to Mastering Cloud Architecture Skills and Conquering the SAA-C03 Exam. Book DescriptionThe AWS Certified Solutions Architect - Associate SAA-C03 credential boosts career prospects and salaries, with 73% of professionals seeing job improvements and a 26% salary increase. The Ultimate AWS Certified Solutions Architect - Associate (SAA-C03) Certification Guide equips you with the knowledge to master AWS architecture, from core services to advanced topics like serverless computing and machine learning, with practical examples and expert insights that are crucial for passing the exam and excelling in real-world applications. This book not only covers the fundamentals but also explores advanced topics like serverless computing, containers, and machine learning. Each chapter is packed with practical examples, real-world scenarios, hands-on exercises, and expert insights that will build your confidence and competence as a cloud architect. With this guide, you will gain the knowledge and skills needed to create highly available, fault-tolerant architectures that meet the demands of today's dynamic cloud environments. Whether you are aiming to pass the AWS Certified Solutions Architect - Associate exam or looking to enhance your cloud architecture skills, this book is your gateway to success. Table of Contents1. Introduction to Cloud Computing, AWS, and AWS SAA C-032. Identity and Access Management in AWS3. Networking in AWS4. Cloud Storage5. Deep-Dive into AWS Compute6. Deep Dive Into AWS Databases7. AWS Application Services8. AWS Management and Governance Services9. AWS Cloud Security10. Cloud Architecture and AWS Framework11. AWS SAA C-03 Certification PreparationIndex
Continuous Modernization
DESCRIPTION As an engineer, it can feel like there is never enough time for testing, designing, or delivering quality solutions. Managers often feel overwhelmed by the need to deliver new features to support their teams while managing vulnerabilities and security standards. Engineers often have to work with legacy systems and learn many new technologies simultaneously to be effective in their jobs. This book teaches you continuous modernization, a key skill for tackling modern and legacy software. By adopting the right mindset and techniques, you will improve systems and workflows, making everything more efficient over time.Continuous modernization is your essential guide to updating old software systems into modern, efficient, and scalable applications. This book covers everything from changing your mindset and technical practices to business strategies and fostering a culture of innovation. It includes tips on unlearning outdated methods, embracing feedback, making smart decisions, ensuring stability, and applying modern design principles. With practical techniques and real-world examples, it provides the tools you need to modernize your software systems and achieve lasting success successfully.By the end of this book, readers will master continuous modernization principles and practices. They will learn to spot areas needing improvement, create effective modernization strategies, and implement changes that boost value and efficiency. Additionally, they will understand how to build a culture of innovation and ongoing learning to keep their software systems up-to-date and competitive in a fast-changing tech world.WHAT YOU WILL LEARN● Learn patterns, anti-patterns, and tools to improve software architecture decisions.● Eliminate limiting practices to improve development efficiency.● Apply disciplined feedback loops to refine architecture and design decisions.● Implement advanced troubleshooting techniques to prevent design flaws.● Continuously refactor systems and scale modernization efforts in distributed architectures.WHO THIS BOOK IS FOROur book is for professionals in the field of computer science. It is for software architects, engineers, testers, managers, directors, and VPs. This is for individuals and teams who may or may not have a modernization project but care about improving individuals and systems daily.
Energy Efficiency and Robustness of Advanced Machine Learning Architectures
This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks.
Galaxy AI Unlocked
The Future is Here! Discover What Makes Your Samsung Device Smart. Do you own a Samsung phone? Are you curious about the intelligent features of your device? Or are you just looking for new tips and tricks to impress family and friends? Then you're on the right track! Your phone is called "smart" for a reason, and this book will uncover why. You'll be amazed by what your Galaxy device can do! Learn the Secrets of Your Smartphone In this book, I'll show you how to: 1. Use Bixby in ways you never thought possible 2. Improve your communication 3. Boost your daily productivity 4. Be more effortlessly creative 5. All with your Galaxy device! You don't need the latest Samsung flagship phone to use this guide-there's something for everyone! However, this book will be most helpful to readers who use the latest Samsung flagship phones or older models with One UI 6.1. Even if you have an older model from 2021 or earlier, or a non-flagship device, there is still plenty of useful information for you in this book. With the new wave of AI in our world today and its integration into our mobile devices, now is the time to maximize and take advantage of these innovations. You don't have to do things the hard way when an easier way is just a few taps away. I'll walk you through these features step-by-step, all the way. Here are some of the topics covered in this book: - Getting Started with Bixby - Bixby in Your Daily Life - Bixby Special Features - Call Assist - Circle to Search - Sketch to Image - Other Galaxy AI features, and more! This book includes specific examples of how you can use Bixby-you'll be surprised by what Bixby can do! The same applies to the Galaxy AI features. Get your copy now by clicking the "Buy Now" button. Let's take the first step together to discover all the amazing things your smartphone can do!
Certified Information Systems Security Professional (CISSP) Exam Guide
Master the skills to safeguard information assets in a dynamic digital landscape and achieve your CISSP certificationPurchase of this book unlocks access to online exam resources such as practice questions, flashcards, exam tips, and the eBook PDFKey Features: - Explore up-to-date content meticulously aligned with the latest CISSP exam objectives- Understand the value of governance, risk management, and compliance- Assess your exam readiness with practice questions that match exam-level difficultyBook Description: The (ISC)2 CISSP exam evaluates the competencies required to secure organizations, corporations, military sites, and government entities. The comprehensive CISSP certification guide offers up-to-date coverage of the latest exam syllabus, ensuring you can approach the exam with confidence, fully equipped to succeed.Complete with interactive flashcards, invaluable exam tips, and self-assessment questions, this book helps you build and test your knowledge of all eight CISSP domains. Detailed answers and explanations for all questions will enable you to gauge your current skill level and strengthen weak areas.This guide systematically takes you through all the information you need to not only pass the CISSP exam, but also excel in your role as a security professional. Starting with the big picture of what it takes to secure the organization through asset and risk management, it delves into the specifics of securing networks and identities. Later chapters address critical aspects of vendor security, physical security, and software security.By the end of this book, you'll have mastered everything you need to pass the latest CISSP certification exam and have this valuable desktop reference tool for ongoing security needs.What You Will Learn: - Get to grips with network communications and routing to secure them best- Understand the difference between encryption and hashing- Know how and where certificates and digital signatures are used- Study detailed incident and change management procedures- Manage user identities and authentication principles tested in the exam- Familiarize yourself with the CISSP security models covered in the exam- Discover key personnel and travel policies to keep your staff secure- Discover how to develop secure software from the startWho this book is for: This book is for professionals seeking to obtain the ISC2 CISSP certification. You should have experience in at least two of the following areas: GRC, change management, network administration, systems administration, physical security, database management, or software development. Additionally, a solid understanding of network administration, systems administration, and change management is essential.Table of Contents- Ethics, Security Concepts, and Governance Principles- Compliance, Regulation, and Investigations- Security Policies and Business Continuity- Risk Management, Threat Modeling, SCRM, and SETA- Asset and Privacy Protection- Information and Asset Handling- Secure Design Principles and Controls- Architecture Vulnerabilities and Cryptography- Facilities and Physical Security- Network Architecture Security- Securing Communication Channels- Identity, Access Management, and Federation- Identity Management Implementation- Designing and Conducting Security Assessments- Designing and Conducting Security Testing- Planning for Security Operations- Security Operations- Disaster Recovery- Business Continuity, Personnel, and Physical Security(N.B. Please use the Read Sample option to see further chapters)
Learning Azure DevOps
To help cloud professionals make the most of the Azure DevOps platform, "Learning Azure DevOps" is a practical book that walks them through the process step-by-step. This book goes over all the bases of DevOps, including how to automate crucial tasks, deploy infrastructure as code (IaC), and set up and manage CI/CD pipelines.At the outset, the chapters will teach readers how to create Azure DevOps projects and link their repositories to VCSes like GitHub. Any application's build, test, and deployment processes, including Spring Boot's, can be automated with Azure Pipelines by configuring Pipeline as Code using YAML. To make sure that professionals can manage scalable, cloud-native apps, we also cover advanced topics like containerizing apps with Docker and deploying them to Azure Kubernetes Service (AKS). Using frameworks such as JUnit, Mockito, and Postman, the book goes even further into automated testing to guarantee quality assurance and continuous testing. It teaches to automate backup and disaster recovery procedures for resilient operations and to use Flyway to perform schema migrations.Additionally, teams are guided to work efficiently together through Azure Boards, shared pipelines, and centralized infrastructure management, highlighting collaboration. Also covered is Azure DevOps Analytics, which readers can use to keep tabs on their projects and teams' performance using real-time dashboards.Key LearningsIntegrate with Git for version control and set up Azure DevOps projects.Develop YAML-based Pipeline as Code to streamline the process of automating builds, tests, and deployments.Dockerize your apps and then launch them on AKS.Utilize Azure Boards and Project Boards to manage and monitor work items, tasks, and user stories.Add Postman, JUnit, and Mockito to your continuous integration pipelines to automate your application testing.Integrate Flyway into your Azure Pipelines to automate database schema migrations and achieve continuous delivery.Facilitate cross-team and cross-project cooperation by establishing shared pipelines and resources.Use Azure DevOps Analytics and performance insights for project management and monitoring.Deploy backups and failover procedures automatically in Azure DevOps.Use Terraform in conjunction with Azure Pipelines to deploy cloud-based IaC.Table of ContentGetting Started with Azure DevOpsPipeline as Code with YAMLContinuous Integration with Azure PipelinesContinuous Delivery with Azure PipelinesManaging Dependencies with Azure ArtifactsTesting and Quality Assurance with Azure Test PlansInfrastructure Automation with Azure PipelinesCollaboration and Team Management in Azure DevOps
Advancing Openmp for Future Accelerators
This book constitutes the refereed proceedings of the 20th International Workshop on OpenMP: Advancing OpenMP for Future Accelerators, IWOMP 2024, in Perth, WA, Australia, during September 23-25, 2024. The 14 full papers presented in this book were carefully reviewed and selected from 16 submissions. They are grouped into the following topics: current and future openMP optimization; targeting more devices; best practices; tools; and simplifying parallelization.
Augmenting Public Relations
Examining a range of new practices for the PR industry, covering both principles and applications, this book will be of great value to students, academics and practitioners alike. It describes the nature of AI and projects its development, offering an introduction to practitioners on how they too can create their own AI tools.
New Secrets for Success in an AI World
ACCELERATING CHANGE IS OUR FUTUREThis book examines the most pressing AI questions.What are the risks associated with AI?What is changing first: job displacement or job creation?What are the most significant benefits of AI in the short and long term?What is the timeline for AI-driven change?Who will be affected most by AI changes in the world?Who will be affected the least by AI?What opportunities lie in future changes?What does the future look like in the short, mid, and long term?What are the most significant new evolving trends in AI?What are some of the AI advancements in healthcare?What are the secrets to future success in an AI world?What is the next wave of AI start-ups?What is the simplest way to monetize AI?How is AI going to affect the financial system worldwide?How will AI affect warfare worldwide?How soon will we see AI personal companions?What is augmented eternity? And much much more...
Artificial General Intelligence
How to make AI capable of general intelligence, and what such technology would mean for society. Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Although some very recent AI systems are generalists to a degree, most AI is narrowly specific; that is, it can only do a single thing, in a single context. For example, your spellchecker can't do mathematics, and the world's best chess-playing program can't play Tetris. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization. Togelius starts by giving examples of narrow AI that have superhuman performance in some way. Interestingly, there have been AI systems that are superhuman in some sense for more than half a century. He then discusses what it would mean to have general intelligence, by looking at definitions from psychology, ethology, and computer science. Next, he explores the two main families of technical approaches to developing more general artificial intelligence: foundation models through self-supervised learning, and open-ended learning in virtual environments. The final chapters of the book investigate potential artificial general intelligence beyond the strictly technical aspects. The questions discussed here investigate whether such general AI would be conscious, whether it would pose a risk to humanity, and how it might alter society.
Creaitivity
In summer 2023, two innovation and technology experts moved into a Cambridge apartment with an AI called Isaac for a unique experiment. They wanted to know what life will really be like when we are all living and working with AI. This book is the result: A practical guide to working smarter with AI, using it at home, at work and in education. It's the first nonfiction book co-written by AI and humans working together - a new genre called 'AI Narratology' - and cuts through the hype to tell the real story of what mass market AI is really all about in relevant, funny and imaginative stories and diary entries by two men and their AI buddy. This is what the future holds for humans living and working in the age of AI.
Change Request Impacts in Software Maintenance
This book discusses Change Management Impact Analysis and how this method is used to analysis the risks and benefits of a change management initiative when it pertains to obtaining critical insight into how the change management program budge should be allotted.
Cloud Native Application Protection Platforms
Cloud native security isn't a game for individual players. It requires team collaboration with a platform that can help cloud security engineers, developers, and operations people do their best work. That's what the cloud native application protection platform (CNAPP) delivers. With this practical guide, you'll learn how CNAPP can help you consolidate security through DevSecOps across cloud native technologies, practices, and application lifecycles. Through real-life attack scenarios, authors Russ Miles, Steve Giguere, and Taylor Smith help you explore how CNAPP not only mitigates multidimensional threats, but also reduces complexity and helps your team stay one step ahead of attackers. CNAPP provides a holistic approach to your cloud native development across identities, workloads, networks, and infrastructure. With this book, you will: Examine threats to different parts of the cloud native stack, including pipelines, supply chains, infrastructure, workloads, and applications Learn what CNAPP is and how it enables the context-sharing and collaboration necessary to secure your applications from development to runtime Assess your own attack surface from a code and runtime standpoint Identify blind spots in your existing cloud native security coverage Leverage CNAPP to achieve a holistic, collaborative security environment
Towards Smart World
This book provides an overview of basic concept from rising of machines and communication to IoT for making the cities smart, real time applications domains, related technologies, and their possible solutions to handle the relevant challenges.
AI Data Privacy and Protection
Empowers business leaders and IT professionals with a deep understanding of the capabilities challenges and capacity of AI-driven data solutions. This book explores the rapidly evolving intersection of artificial intelligence (AI) and data management. By highlighting best practices case studies and future trends it provides a roadmap for organizations striving to harness AI's power in managing and leveraging their data for competitive advantage. This roadmap encompasses the monitoring detection and response required in areas of AI security risk management ethics privacy ethics and regulations. At the confluence of artificial intelligence and data management lies a transformative potential that promises to redefine the future of business governance and innovation. This book delves deep into this nexus unraveling its complexities and illuminating its vast possibilities. Through expert insights real-world examples and forward-thinking analyses we embark on a journey to explore the transformative power of AI in data management the ethical considerations it brings forth and the strategic imperatives for businesses in the AI era. It's not just about understanding technology-it's about envisioning a future where data powered by AI becomes the cornerstone of decision-making strategy and value creation from the practitioner to the Board of Directors. We wrote this book for a diverse audience encompassing business leaders aiming to integrate AI into their strategic vision IT professionals striving to stay ahead in the dynamic realm of data management data scientists eager to leverage AI's transformative capabilities and students venturing into the world of AI and data. It is equally relevant for policymakers consultants and educators interested in the broader implications of AI-driven data solutions. By focusing on a balance of conceptual knowledge practical insights and future trends this book ensures that readers from various backgrounds and expertise levels find content that resonates with their interests and professional needs. Whether you're a seasoned executive an emerging tech enthusiast or someone curious about the AI-driven future this book offers a comprehensive lens through which to view and engage with the evolving landscape of AI and data management.
Applications of Machine Learning and Deep Learning on Biological Data
This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics, genomics, microarrays, text mining and related fields. The key objective is to provide machine learning applications to biological science problems, focusing on problems related to bioinformatics.
Advanced Intelligent Predictive Models for Urban Transportation
The book emphasizes the predictive models of Big Data, Genetic Algorithm and IoT with a case study. It also covers an Intelligent Traffic Light Controller and Deviation System, which can assist in modernizing the traffic system to smart traffic management system.
Computer Vision and Internet of Things
Computer Vision and Internet of Things: Technologies and Applications explores the utilization of Internet of Things (IoT) with computer vision and its underlying technologies in different applications areas. Using a series of present and future applications - including business insights, indoor-outdoor securities, smart grids, human detection and tracking, intelligent traffic monitoring, e-health departments, and medical imaging - this book focuses on providing a detailed description of the utilization of IoT with computer vision and its underlying technologies in critical application areas, such as smart grids, emergency departments, intelligent traffic cams, insurance, and the automotive industry.Key Features - Covers the challenging issues related to sensors, detection, and tracking of moving objects with solutions to handle relevant challenges- Describes the latest technological advances in IoT and computer vision with their implementations- Combines image processing and analysis into a unified framework to understand both IOT and computer vision applications- Explores mining and tracking of motion-based object data, such as trajectory prediction and prediction of a particular location of object data, and their critical applications- Provides novel solutions for medical imaging (skin lesion detection, cancer detection, enhancement techniques for MRI images, and automated disease prediction)This book is primarily aimed at graduates and researchers working in the areas of IoT, computer vision, big data, cloud computing, and remote sensing. It is also an ideal resource for IT professionals and technology developers.
Artificial Intelligence in Highway Safety
Artificial Intelligence in Highway Safety is a cutting-edge book in the world of AI in the field of highway safety. The author is a highway safety expert, pursues highway safety within its contexts, while drawing attention to the predictive powers of the AI techniques in solving complex problems for safety improvement.
Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
This unique book showcases the applications of various sub-fields of artificial intelligence (AI) in engineering, management and safety aspects of infrastructure.
Cloud and Fog Computing Platforms for Internet of Things
Fog, Cloud Computing and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications.
Edge Computing
This reference text introduces concepts of edge computing and its integration with blockchain technology, cloud computing, and internet of things (IoT). It will serve as a useful text for senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, and computer science.
Smart Proxy Modeling
Smart proxy models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes. This book focuses on smart proxy modeling and teaches readers to develop smart proxy models using artificial intelligence and machine learning.
SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things
This book provides a wide range of research directions in the field of edge-cloud computing, SDN, and IoT. It is a starting point for those involved in this research domain and explore burning issues related to network congestion, traffic management, latency, QoS, scalability, security, and controller placement problems etc.
Edge Computing and Capability-Oriented Architecture
This book is for everyone who is interested in understanding what ubiquitous and edge computing means, why it is growing in importance and its opportunities to you as a technologist or decision maker.
Applied Learning Algorithms for Intelligent Iot
Connectivity through the Internet of Things (IoT) processes and platforms combined with AI create the foundation of developing smart systems exhibiting intelligent behavior. The book illustrates promising and potential machine learning (ML) and deep learning (DL) algorithms through real-world and real-time business use cases.
Medical Internet of Things
This book is an attempt to explore new ideas and novel techniques in area of Medical Internet of Things apart from basic concepts. It intends to offer novel advances and applications of MIOT in a precise and clear manner to the research community to achieve in depth knowledge in the field.
Internet of Things and Data Mining for Modern Engineering and Healthcare Applications
This book aims to focus on the Internet of Things (IoT) and Data Mining for Modern Engineering and Healthcare Applications. It also focuses on recent technological advancements in Microwave Engineering, Communication and applicability of newly developed solid-state technologies in bio-medical engineering and healthcare.
Document Analysis and Recognition - Icdar 2024 Workshops
This two-volume set LNCS 14935-14936 constitutes the proceedings of International Workshops co-located with the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30-31, 2024. The total of 30 regular papers presented in these proceedings were carefully selected from 46 submissions. Part I contains 16 regular papers that stem from the following workshops: ICDAR 2024 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); ICDAR 2024 Workshop on Advanced Analysis and Recognition of Parliamentary Corpora (ARPC); ICDAR 2024 Workshop on coMics ANalysis, Processing and Understanding (MANPU). Part II contains 14 regular papers that stem from the following workshops: ICDAR 2024 Workshop on Computational Paleography (IWCP); ICDAR 2024 Workshop on Machine Vision and NLP for Document Analysis (VINALDO).
