Machine Learning for Biomedical Applications
Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descriptions followed by simple examples using biomedical data. Interactive Python notebooks are provided with each chapter to complement the text and aid understanding. Sections cover uses in biomedical applications, practical Python coding skills, mathematical tools that underpin the field, core machine learning methods, deep learning concepts with examples in Keras, and much more. This accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences and clinicians.
The Loop
This eye-opening narrative journey into the rapidly changing world of artificial intelligence reveals the dangerous ways AI is exploiting the unconscious habits of our minds, and the real threat it poses to humanity: "The best book I have ever read about AI" (New York Times bestselling author Roger McNamee). Artificial intelligence is about to amplify the most primitive version of who we are, and spit it back at us for entertainment and profit. That's the warning from award-winning technology journalist Jacob Ward, whose decade-long journey through the cutting edge of AI and behavioral science reveals that we're on the verge of becoming caught in The Loop: a shrinking cycle of narrowed choices and lost skills that will turn us away from expertise, human connection, and creativity if we don't act fast. From biometric surveillance states that track the movements and relationships of over a billion people, to the algorithms that determine what movies get made, to the risky multiple-choice simplicity of automated battlefield systems, this book reveals that the most obvious patterns in our behavior--patterns that AI is most likely to vacuum up--are not the ones we want to perpetuate. As the tech industry begins writing flawed human habits into AI, The Loop is a call to look at ourselves more clearly, so we can put only the best parts of ourselves into the systems we create.
A Practical Guide to Service Management
Develop and improve the service management capabilities of your organization or business with this comprehensive handbookKey FeaturesA complete, pragmatic guide on service management from industry expertsLearn industry best practices and proven strategies to establish and improve a service management capabilityGet hands on with implementing and maintaining a service management capabilityPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMany organizations struggle to find practical guidance that can help them to not only understand but also apply service management best practices. Packed with expert guidance and comprehensive coverage of the essential frameworks, methods, and techniques, this book will enable you to elevate your organization's service management capability.You'll start by exploring the fundamentals of service management and the role of a service provider. As you progress, you'll get to grips with the different service management frameworks used by IT and enterprises. You'll use system thinking and design thinking approaches to learn to design, implement, and optimize services catering to diverse customer needs.This book will familiarize you with the essential process capabilities required for an efficient service management practice, followed by the elements key to its practical implementation, customized to the organization's business needs in a sustainable and repeatable manner. You'll also discover the critical success factors that will enhance your organization's ability to successfully implement and sustain a service management practice.By the end of this handy guide, you'll have a solid grasp of service management concepts, making this a valuable resource for on-the-job reference.What you will learnDiscover a holistic approach to managing servicesGet acquainted with the service management methods, frameworks, and best practicesUnderstand the significance of a service management strategyDemonstrate your skills to deliver high-quality, timely servicesFind out how to become a respected business partner to your customersRecognize the role of governance, outcomes, and marketsGrasp the concept of value capture and maintaining value over timeExplore common processes that lay the foundation for effective service managementWho this book is forThis book is for anyone interested in gaining a general understanding of the value of enterprise/IT service management (ESM/ITSM), including but not limited to IT leadership, key business managers, business process analysts, business analysts, IT consultants, IT professionals, project managers, systems integrators, service desk managers, managed service providers, solution providers, and sales staff.Whether you're new to service management or have prior experience, you'll find valuable insights in this book.Table of ContentsUnderstanding Service ManagementGetting to Grips with Service Management FrameworksWorking with the "Design Thinking" Aspect of Service ManagementSystems Thinking in Terms of Service ManagementService Management Key ConceptsIncident ManagementProblem ManagementChange Management Release and Deployment ManagementRequest Management Service Catalog Management Service Asset Management Configuration Management Business Relationship Management Service Level Management Pragmatic Application of Service Management(N.B. Please use the Look Inside option to see further chapters)
Machine Learning Crash Course for Engineers
​Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.
Integrated Uncertainty in Knowledge Modelling and Decision Making
These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
Human and Machines
This book shares Chinese scholars' philosophical views on artificial intelligence. The discussions range from the foundations of AI--the Turing test and creation of machine intelligence--to recent applications of AI, including decisions in games, natural languages, pattern recognition, prediction in economic contexts, autonomous behaviors, and collaborative intelligence, with the examples of AlphaGo, Microsoft's Xiao Bing, medical robots, etc. The book's closing chapter focuses on Chinese machines and explores questions on the cultural background of artificial intelligence. Given its scope, the book offers a valuable resource for all members of the general public who are interested in the future development of artificial intelligence, especially from the perspective of respected Chinese scholars.
Ultrasound Mid-Air Haptics for Touchless Interfaces
Over the last decade, ultrasound mid-air haptic technology has emerged and rapidly advanced to engage multidisciplinary scientific communities within and adjacent to the haptics and HCI fields. Additionally, this haptic technology has been adopted by a number of industry sectors (e.g., automotive, virtual reality, digital signage, neuroscience research) who appear keen to exploit its unique value proposition: the ability to deliver rich haptic sensations from a distance, without the need to touch, wear or hold anything in order to enhance touchless interfaces, novel applications, and experiences.This book is the first, and currently the only one, that provides a comprehensive description of the technology, encapsulating almost all aspects relating to electronic prototyping, acoustics, haptics, psychology and perception, user experience and end-user HCI applications. Through its 18 chapters written by 30 expert co-authors, this book is therefore an excellent introduction to the technology for anyone coming from any of those fields. Specifically, the reader will benefit by getting a unique and multi-dimensional perspective on the state-of-the-art of this enabling haptic technology while also understanding its history, relevant best research practices, and an overview of the various open challenges and opportunities.
Advanced Data Mining and Applications
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21-23, 2023.The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.
Sustainable Development Through Machine Learning, AI and Iot
This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15-16, 2023.The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development.
Image and Graphics Technologies and Applications
This book constitutes the refereed proceedings of the 18th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2023, held in Beijing, China, during August 17-19, 2023.The 35 full papers included in this book were carefully reviewed and selected from 129 submissions. They were organized in topical sections as follows: image processing and enhancement techniques; machine vision and 3D reconstruction; image/video big data analysis and understanding; computer graphics; visualization and visual analysis; virtual reality and human-computer interaction; and applications of image and graphics.
Haptic Interaction
This book constitutes the proceedings of the 5th International Conference, AsiaHaptics 2022, in Beijing, China, in November 2022.The 17 full papers included in this volume were carefully reviewed and selected from 46 submissions. The conference presents the latest developments of haptic hardware in education, culture, tourism, medicine, elderly care and disability assistance.
Integrated Uncertainty in Knowledge Modelling and Decision Making
These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023.The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
Cognitive Tutor
This book illustrates the design, development, and evaluation of personalized intelligent tutoring systems that emulate human cognitive intelligence by incorporating artificial intelligence. Artificial intelligence is an advanced field of research. It is particularly used in the field of education to increase the effectiveness of teaching and learning techniques. With the advancement of internet technology, there is a rapid growth in web based distance learning modality. This mode of learning is better known as the e-learning system. These systems present low intelligence because they offer a pre-identified learning frame to their learners. The advantage of these systems is to offer to learn anytime and anyplace without putting emphasis on a learner's needs, competency level, and previous knowledge. Every learner has different grasping levels, previous knowledge, and preferred mode of learning, and hence, the learning process of one individual may significantly vary from other individuals. This book provides a complete reference for students, researchers, and industry practitioners interested in keeping abreast of recent advancements in this field. It encompasses cognitive intelligence and artificial intelligence which are very important for deriving a roadmap for future research on intelligent systems.
Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence
This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to advance the mission of anticipating, prohibiting, preventing, preparing, and responding to internal security.
The Archived Web
An original methodological framework for approaching the archived web, both as a source and as an object of study in its own right. As life continues to move online, the web becomes increasingly important as a source for understanding the past. But historians have yet to formulate a methodology for approaching the archived web as a source of study. How should the history of the present be written? In this book, Niels Br羹gger offers an original methodological framework for approaching the web of the past, both as a source and as an object of study in its own right. While many studies of the web focus solely on its use and users, Br羹gger approaches the archived web as a semiotic, textual system in order to offer the first book-length treatment of its scholarly use. While the various forms of the archived web can challenge researchers' interactions with it, they also present a range of possibilities for interpretation. The Archived Web identifies characteristics of the online web that are significant now for scholars, investigates how the online web became the archived web, and explores how the particular digitality of the archived web can affect a historian's research process. Br羹gger offers suggestions for how to translate traditional historiographic methods for the study of the archived web, focusing on provenance, creating an overview of the archived material, evaluating versions, and citing the material. The Archived Web lays the foundations for doing web history in the digital age, offering important and timely guidance for today's media scholars and tomorrow's historians.
Apple Vision Pro
If you've newly bought a macbook air, you'll surely be excited. And you should be. The macbook air is one of the most powerful laptops the world has ever seen.This tremendous machine works super-fast. It can help you do things that'll blow minds- your kids, friends, colleagues at work, customers, and clients will not believe how good your work is. You can watch videos, play games, hold video conferences, create music, send emails, do a graphic design, sell your products and on and on. But you need to know how to use your new baby well before it can fetch you money and fun. So where do you start? Here is a sneak peek at what's inside: Setting up your deviceBanner features for the fire tv stickInstalling apps for fire stickHow to download apps using the search functionHow to install apps using alexaHow to uninstall an appHow to clear cacheHow to add movies or tv shows to your watch listBecause of its iconic appearance, improved performance, and low pricing, the ipad air 5 is sure to be a tremendous hit for both existing and new ipad users.This book is an easy-to-understand manual that outlines the essential features of the ipad air 5th gen. And it offers an easy walk-through on how to use and explore the features of this new device.
The ChatGPT Guide for Business
Learn how to use ChatGPT effectively and ethically in work and business! A must-have guide for you or your team.The ChatGPT Guide for Business is full of practical applications and techniques to harness AI for productivity, enhance work, and gain a competitive edge. People who use AI will outperform those who don't - This book ensures you reap the benefits rather than being left behind.AI tools like ChatGPT are powerful but carry huge risks. For example, did you know that asking ChatGPT questions using customer information might break the law, putting your job and business at risk? Or that if you ask GPT for help, sometimes it makes up fake answers? And these aren't the only risks.This book tackles these concerns, offering tools to use ChatGPT in business, maximising strengths, minimising risks, and avoiding data protection breaches. Learn to use AI responsibly without damaging your business or compromising your values.In this book, you will learn: Responsible AI useUse ChatGPT in a value-adding way which is not lazy! Benefit from AI use without damaging your brand.Critical foundation skillsThe basics of ChatGPT and AI Large Language Models (LLMs), and the three laws for responsible AI use in business.Practical tips and techniquesPractical applications for AI tools in various business areas. Prompt Engineering Techniques for business communications, learning, strategy, project management, marketing, and more.AI ethics and how to navigate the futureBest practices for responsible AI use and ethical considerations. Insights on the future of AI and its impact on the workforce.Techniques make you and your team AI-readyHow to adapt strategically to become an "AI first organisation". Techniques to boost ChatGPT's accuracy from 17% to near 100%.This guide is hyper-relevant to most aspects of work and business, especially making it a must-have guide for you and your team! If you require a resource to persuade your colleagues to adopt AI, look no further!Written by an experienced CEO with a deep understanding of business and technology, this book breaks down complex concepts into simple terms, making it accessible for readers without a technical background.Be aware as AI changes the world - learn to adapt, thrive, and use these tools effectively and ethically.About the Author: Andrew, a UK tech entrepreneur, acrobat, powerlifter, and serial author, is passionate about a future where technology enriches lives and bolsters productivity. He empowers businesses to embrace innovation. A dedicated sportsman, Andrew is an IPF World Bench Press Bronze Medallist for Great Britain.Get this book today and ensure you read part 1 - The first 45 pages!
The Systemic Image
A new conceptualization of the relationship between the systemic and the iconic in real-time simulations that distinguishes among four levels of forming. Computer simulations conceive objects and situations dynamically, in their changes and progressions. In The Systemic Image, Inge Hinterwaldner considers not only the technical components of dynamic computer simulations but also the sensory aspects of the realization. Examining the optic, the acoustic, the tactile, and the sensorimotor impressions that interactive real-time simulations provide, she finds that iconicity plays a dominant yet unexpected role. Based on this, and close readings of a series of example works, Hinterwaldner offers a new conceptualization of the relationship between systemic configuration and the iconic aspects in these calculated complexes. Hinterwaldner discusses specifications of sensorialization, necessary to make the simulation dynamic perceivable. Interweaving iconicity with simulation, she explores the expressive possibilities that can be achieved under the condition of continuously calculated explicit changes. She distinguishes among four levels of forming: the systems perspective, as a process and schema that establishes the most general framework of simulations; the mathematical model, which marks off the boundaries of the simulation's actualization; the iconization and its orientation toward the user; and interaction design, necessary for the full unfolding of the simulation. The user makes manifest what is initially latent. Viewing the simulation as an interface, Hinterwaldner argues that not only does the sensorially designed aspect of the simulation seduce the user but the user also makes an impact on the simulation--on the dynamic and perhaps on the iconization, although not on the perspectivation. The influence is reciprocal.
Narrative Nexus
Step into a world where technology and creativity collide in "Narrative Nexus: The AI Dilemma in Fiction." Delve into the heart of the riveting debate surrounding the role of artificial intelligence in replacing fictional writers. In this thought-provoking exploration, we journey through the compelling arguments both in favor of and against the idea, navigating the complex landscape where innovation and tradition intersect.In an era of rapidly evolving technology, the question of whether AI should replace fictional writers captivates the minds of literary enthusiasts and innovators alike. From efficiency and exploration to accessibility and experimentation, the case for AI-generated content is compelling. Imagine a literary realm where stories flow like never before, catering to diverse audiences and unlocking novel narratives that challenge the status quo.Yet, amidst the promise of this technological frontier, another narrative unfolds-one that champions the essence of human creativity and emotional depth. "Narrative Nexus" delves into the very soul of artistic expression, emphasizing the irreplaceable connection between human writers and their readers. Through the lens of ethics and originality, this book unearths the ethical dilemmas, intellectual property concerns, and cultural implications that AI-generated content brings to the forefront.Join us on a captivating journey as we navigate the multifaceted world of storytelling, where AI meets human ingenuity. Explore the realm of artistic expression, uncover the truths about human connection, and ponder the fate of originality and uniqueness in literature. "Narrative Nexus" is a literary journey that sparks conversations, challenges perspectives, and invites you to contemplate the future of fiction in a world reshaped by technology.Dive into the pages of "Narrative Nexus" and embark on an intellectual odyssey that traverses the boundaries of creativity, ethics, and the essence of what it means to be a storyteller. As AI advances and human imagination endures, the question remains: Should AI replace fictional writers, and if so, why?
Artificial Intelligence
Explore the world of artificial intelligence (ai) with 'artificial intelligence 2023.' this enlightening guide will prepare you to leverage the advancements in ai and capitalize on its growing presence in the market.Your journey starts with a broad overview of ai, helping you grasp its fundamental principles. As you advance, you'll delve into the meteoric rise of ai in various industries and comprehend the link between ai and automation. Inside this book, you'll discover: An engaging introduction to ai, perfect for beginners.The captivating history of ai, from its beginnings to modern times.An in-depth look into ai technologies like machine learning, deep learning, natural language processing, and computer vision.A forward-thinking exploration of the future of ai, the impending revolutions, challenges, and the road ahead.Comprehensive glossaries, resources, and an index to guide your understanding and further exploration.This omnipresent technology transforms our world and sets the stage for the future in unimaginable ways.Have you considered how much the world understands this transformative phenomenon creating digital miracles and driving the economy?Did you know ai could contribute up to a staggering $15.7 trillion to the global economy by 2030?
Introduction to Responsible AI
Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you'll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios. The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI's profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. What You Will Learn Understand the principles of responsible AI and their importance in today's digital worldMaster techniques to detect and mitigate bias in AIExplore methods and tools for achieving transparency and explainabilityDiscover best practices for privacy preservation and security in AIGain insights into designing robust and reliable AI models Who This Book Is For AI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI
CompTIA Linux+ XK0-005 Reference Guide
The CompTIA Linux+ certification is a valuable credential for anyone who wants to work with Linux systems. It demonstrates your skills and knowledge of Linux administration, which is essential for getting a job or advancing your career. This comprehensive guide is designed to help you prepare for and pass the CompTIA Linux+ XK0-005 certification exam. It covers all the essential topics you need to know, including how to configure, manage, operate, and troubleshoot Linux server environments. It also includes practice test questions to help you assess your knowledge and readiness for the exam.
Industrial Artificial Intelligence Technologies and Applications
The advances in industrial edge artificial intelligence (AI) are transforming the way industrial equipment and machines interact with the real world, with other machines and humans during manufacturing processes. These advances allow Industrial Internet of Things (IIoT) and edge devices to make decisions during the manufacturing processes using sensors and actuators.Digital transformation is reshaping the manufacturing industry, and industrial edge AI aims to combine the potential advantages of edge computing (low latency times, reduced bandwidth, distributed architecture, improved trustworthiness, etc.) with the benefits of AI (intelligent processing, predictive solutions, classification, reasoning, etc.).The industrial environments allow the deployment of highly distributed intelligent industrial applications in remote sites that require reliable connectivity over wireless and cellular connections. Intelligent connectivity combines IIoT, wireless/cellular and AI technologies to support new autonomous industrial applications by enabling AI capabilities at the edge and allowing manufacturing companies to improve operational efficiency and reduce risks and costs for industrial applications.There are several critical issues to consider when introducing AI to industrial IoT applications considering training AI models at the edge, the deployment of the AI-trained inferencing models on the target edge hardware platforms, and the benchmarking of solutions compared to other implementations.Next-generation trustworthy industrial AI systems offer dependability in terms of their design, transparency, explainability, verifiability, and standardised industrial solutions can be implemented in various applications across different industrial sectors.New AI techniques such as embedded machine learning (ML) and deep learning (DL), capture edge data, employ AI models, and deploy these in hardware target edge devices, from ultra-low-power microcontrollers to embedded devices, gateways, and on-premises servers for industrial applications. These techniques reduce latency, increase scalability, reliability, and resilience; and optimise wireless connectivity, greatly expanding the capabilities of the IIoT.This book provides an overview of the latest research results and activities in industrial AI technologies and applications, based on the innovative research, developments and ideas generated by the ECSEL JU AI4DI, ANDANTE and TEMPO projects.The authors describe industrial AI's challenges, the approaches adopted, and the main industrial systems and applications to give the reader extensive insight into the technical nature of this field. The chapters provide insightful material on industrial AI technologies and applications.This book is a valuable resource for researchers, post-graduate students, practitioners, and technoloyg developers interested in gaining insight into industrial edge AI, the IIoT, embedded machine and deep learning, new technologies, and solutions to advance intelligent processing at the edge.The Open Access version of this book, available at http: //www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non-Commercial (CC-BY-NC) 4.0 International License.
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence
This book constitutes the refereed proceedings of the 8th China Conference on Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence, CCKS 2023, held in Shenyang, China, during August 24-27, 2023. The 28 full papers included in this book were carefully reviewed and selected from 106 submissions. They were organized in topical sections as follows: ​knowledge representation and knowledge graph reasoning; knowledge acquisition and knowledge base construction; knowledge integration and knowledge graph management; natural language understanding and semantic computing; knowledge graph applications; knowledge graph open resources; and evaluations.
Domain Adaptation and Representation Transfer
This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023. The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.
AWS DevOps Simplified
The complete guide to increasing the DevOps maturity of your organization while adhering to AWS' well-architected principlesKey Features: Increase your organization's DevOps maturity level from both strategic and tactical standpointGet hands-on AWS experience with ready-to-deploy code examples covering enterprise scenariosAdvance your career with practical advice to ensure customer satisfaction and stakeholder buy-inPurchase of the print or Kindle book includes a free PDF eBookBook Description: DevOps and AWS are the two key enablers for the success of any modern software-run business. DevOps accelerates software delivery, while AWS offers a plethora of services, allowing developers to prioritize business outcomes without worrying about undifferentiated heavy lifting. This book focuses on the synergy between them, equipping you with strong foundations, hands-on examples, and a strategy to accelerate your DevOps journey on AWS.AWS DevOps Simplified is a practical guide that starts with an introduction to AWS DevOps offerings and aids you in choosing a cloud service that fits your company's operating model. Following this, it provides hands-on tutorials on the GitOps approach to software delivery, covering immutable infrastructure and pipelines, using tools such as Packer, CDK, and CodeBuild/CodeDeploy. Additionally, it provides you with a deep understanding of AWS container services and how to implement observability and DevSecOps best practices to build and operate your multi-account, multi-Region AWS environments.By the end of this book, you'll be equipped with solutions and ready-to-deploy code samples that address common DevOps challenges faced by enterprises hosting workloads in the cloud.What You Will Learn: Develop a strong and practical understanding of AWS DevOps servicesManage infrastructure on AWS using tools such as Packer and CDKImplement observability to bring key system behaviors to the surfaceAdopt the DevSecOps approach by integrating AWS and open source solutionsGain proficiency in using AWS container services for scalable software managementMap your solution designs with AWS's Well-Architected FrameworkDiscover how to manage multi-account, multi-Region AWS environmentsLearn how to organize your teams to boost collaborationWho this book is for: This book is for software professional who build or operate software on AWS. If you have basic knowledge of AWS Console or CLI, this book will help you build or enhance your DevOps skills by developing a solid foundational understanding of AWS offerings. You'll also find it useful if you're looking to optimize your software delivery cycles and build reliable, cost-optimized, secure, and sustainable solutions on AWS.
Mobile DevOps Playbook
Learn to use mobile DevOps for faster, more efficient mobile development by uncovering the secrets of mobile application development lifecycleKey Features: Discover best practices and mobile DevOps tools for test automation, app releases, performance optimization, security, error tracking, and moreEnhance efficiency, speed, and quality of your development process with mobile DevOpsExplore mobile DevOps components like continuous integration, testing, deployment, and monitoringPurchase of the print or Kindle book includes a free PDF eBookBook Description: To build mobile apps, you need to understand mobile-first features, tools, and processes that help you build, test, and release robust apps faster and more efficiently. The multitude of challenges stemming from mobile development's inherent complexities, including native iOS and Android app creation, cross-platform frameworks, and the implementation of scalable architectures within extensive teams, collectively contribute to a substantial number of obstacles that can significantly prolong the release process.This book will help you understand and implement the best practices of mobile DevOps for continuous integration, testing, delivery, deployment, and monitoring. You'll explore different challenges faced by developers due to varied OSs, the unforgiving nature of mobile applications, and continuous updates to mobile phones and learn how to maneuver through these challenges. You'll also get to grips with the latest trends while discovering the potential future of mobile DevOps, with valuable insights and guidance about integrating mobile development teams into your organization.By the end of this book, you'll be well-equipped to successfully implement mobile DevOps and build fast, qualitative, and efficient mobile apps for your team or organization.What You Will Learn: Discover the principles, components, and concepts of mobile DevOpsDevelop a successful mobile CI/CD strategy in your organizationIdentify the tools and processes for mobile app release and distributionDevelop and release mobile applications efficiently and reliablyImplement continuous testing with mobile DevOpsLeverage Mobile DevSecOps to improve security, efficiency of your Mobile app development processUnderstand how Platform Engineering and IDP Teams can improve Developer Productivity in Mobile DevOpsIdentify and fix problems with mobile application performance and data usageWho this book is for: This book is for DevOps engineers looking to learn more about mobile DevOps to build effective processes for releasing mobile apps quickly and frequently. It's also an excellent resource for mobile developers, mobile release managers, mobile architects, mobile platform engineers, and QA engineers, involved in mobile app development. Familiarity with DevOps and mobile app challenges related to testing, releasing, and monitoring especially at scale is a prerequisite.
Healthcare 2.0
In this groundbreaking book, the author, a seasoned Senior Manager in Health Care program management, explores the dynamic convergence of artificial intelligence and the healthcare industry. With his extensive background in both healthcare and IT management, the author unravels the transformative potential of AI in reshaping healthcare management practices. From the current state of healthcare management to the future possibilities, this comprehensive guide navigates through various facets of AI in healthcare. Delving into cutting-edge topics such as machine learning algorithms, predictive analytics for patient management, AI in drug discovery, and the integration of AI and robotics in healthcare operations. The book presents real-world examples and case studies to showcase AI's tangible impact on healthcare organizations. Readers will gain valuable insights into how AI can enhance diagnostic accuracy, streamline healthcare operations, improve patient engagement, and optimize resource allocation. Whether you are an industry expert seeking innovative solutions or a student intrigued by the intersection of AI and healthcare, "Healthcare 2.0: The AI Prescription" empowers you to leverage the full potential of AI to revolutionize healthcare delivery and elevate patient care. Embrace the future of healthcare management with AI as your guiding force. This book is your roadmap to a new era of efficiency, effectiveness, and exceptional patient experiences.
Artificial Intelligence for Beginners
Are you ready to demystify the world of AI? Curious about the wonders of generative AI? Whether for business or personal exploration, this comprehensive guide has you covered. Dive into the realms of ChatGPT, MidJourney, and RunwayML to unlock unprecedented potential and change the game.
Introduction to Amazon AWS
In the dynamic landscape of modern technology, cloud computing has become the cornerstone of innovation, scalability, and efficiency. "Introduction to Amazon AWS" is your essential guide to understanding the fundamental concepts of cloud computing using Amazon Web Services (AWS). Whether you're new to the cloud or looking to expand your horizons, this book will demystify the world of AWS and empower you with the knowledge needed to embark on your cloud journey.Video Course IncludedBy purchasing this book, you will have access to an online video course on the author's website. This course has video walkthroughs, online quizzes, and downloadable materials.Key Contents: Cloud ConceptsIn this chapter, we will look at the fundamentals of cloud computing. We will first start off with a definition of cloud computing and then follow up with a brief history of cloud computing. Next, we will look at the advantages and limitations of cloud computing. We will explain how cloud systems deployment by defining cloud service models.. This chapter then concludes with a look at the Amazon AWS well architected framework.Amazon Core ServicesIn this chapter, I will introduce you to the core services of Amazon AWS. After this introduction, we will examine each of these core services.Amazon EC2 and Virtual Servers: Create, configure, and manage Amazon EC2 instances.Explore instance types, storage options, and security considerations.Amazon S3 and Data Storage: Master Amazon S3 for object storage and distribution.Learn about storage classes, data management, and common use cases.Amazon RDS and Databases: Set up and manage relational databases using Amazon RDS.Explore supported database engines, benefits, and use cases.Amazon Lambda and Serverless Computing: Discover serverless architecture and create AWS Lambda functions.Learn to respond to events and execute code without managing servers.Security and Account ManagementAn important part of any system is security and access management. With Amazon AWS, this is Identity and Access Management (IAM). In this section, we will learn about the basic features of IAM and how roles are used to provision access to services for users.Billing and PricingIn this section, we will learn the basics of how AWS prices for services are determined and how to estimate the cost of services using the AWS Price Calculator.Who Should Buy This Book?I designed this book for beginners aiming to learn about cloud computing and AWS from scratch. I also designed it for Developers, System Administrators, and IT professionals seeking to expand their AWS skills. Individuals pursuing AWS certifications can also benefit from this course. Get Started today!
Technology, Users and Uses
New technological advancements have always changed the way society and human relationships work. New affordances created by technological tools inevitable modify and affect the way people interact with such tools, as well as with one another, and with the world within which this technology is embedded.Technology, Users and Uses explores and discusses ethical issues around the use of technology and AI, by focusing on the way they affect individual, social and global interactions. The collection addresses topics including social networks, public opinion, fake news and information warfare; digitalisation and datafication of society and individuals; and transhumanism, super-intelligent machines and the technological singularity.Technology, Users and Uses aims to offer theoretical and practical guidelines and recommendations for regulators, developers, engineers and scientists, as well as for researchers, educators and scholars in the fields of technology and AI, philosophy and sociology.
Online Machine Learning
This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three parts: the first part looks in detail at the theoretical foundations of OML, comparing it to Batch Machine Learning (BML) and discussing what criteria should be developed for a meaningful comparison. The second part provides practical considerations, and the third part substantiates them with concrete practical applications. The book is equally suitable as a reference manual for experts dealing with OML, as a textbook for beginners who want to deal with OML, and as a scientific publication for scientists dealing with OML since it reflects the latest state of research. But it can also serve as quasi OML consulting since decision-makers and practitioners can use the explanations to tailor OML to their needs and use it for their application and ask whether the benefits of OML might outweigh the costs. OML will soon become practical; it is worthwhile to get involved with it now. This book already presents some tools that will facilitate the practice of OML in the future. A promising breakthrough is expected because practice shows that due to the large amounts of data that accumulate, the previous BML is no longer sufficient. OML is the solution to evaluate and process data streams in real-time and deliver results that are relevant for practice.In addition to this book, interactive Jupyter Notebooks and further material about OML are provided in the GitHub repository (https: //github.com/sn-code-inside/online-machine-learning). The repository is continuously maintained, so the notebooks may change over time.
Telematics and Computing
This book constitutes the proceedings of the 12th International Congress on Telematics and Computing, WITCOM 2023, held in Puerto Vallarta, Mexico, in November 2023. The 35 full papers presented in this volume were carefully reviewed and selected from 88 submissions. The papers are focused on the topics of artificial intelligence techniques, data science, blockchain, environment monitoring, cybersecurity, education, and software for communications protocols.
Deep Learning
This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time.The book is organized into numerous bite-sized chapters, each exploring a distinct topic, and the narrative follows a linear progression, with each chapter building upon content from its predecessors. This structure is well-suited to teaching a two-semester undergraduate or postgraduate machine learning course, while remaining equally relevant to those engaged in active research or in self-study.A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value of techniques rather than on abstract theory. Complex concepts are therefore presented from multiple complementary perspectives including textual descriptions, diagrams, mathematical formulae, and pseudo-code.Chris Bishop is a Technical Fellow at Microsoft and is the Director of Microsoft Research AI4Science. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society. Hugh Bishop is an Applied Scientist at Wayve, a deep learning autonomous driving company in London, where he designs and trains deep neural networks. He completed his MPhil in Machine Learning and Machine Intelligence at Cambridge University."Chris Bishop wrote a terrific textbook on neural networks in 1995 and has a deep knowledge of the field and its core ideas. His many years of experience in explaining neural networks have made him extremely skillful at presenting complicated ideas in the simplest possible way and it is a delight to see these skills applied to the revolutionary new developments in the field." -- Geoffrey Hinton"With the recent explosion of deep learning and AI as a research topic, and the quickly growing importance of AI applications, a modern textbook on the topic was badly needed. The "New Bishop" masterfully fills the gap, covering algorithms for supervised and unsupervised learning, modern deep learning architecture families, as well as how to apply all of this to various application areas." - Yann LeCun"This excellent and very educational book will bring the reader up to date with the main concepts and advances in deep learning with a solid anchoring in probability. Theseconcepts are powering current industrial AI systems and are likely to form the basis of further advances towards artificial general intelligence." -- Yoshua Bengio
Pricai 2023: Trends in Artificial Intelligence
This three-volume set, LNCS 14325-14327 constitutes the thoroughly refereed proceedings of the 20th Pacific Rim Conference on Artificial Intelligence, PRICAI 2023, held in Jakarta, Indonesia, in November 2023.The 95 full papers and 36 short papers presented in these volumes were carefully reviewed and selected from 422 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.
Pricai 2023: Trends in Artificial Intelligence
This three-volume set, LNCS 14325-14327 constitutes the thoroughly refereed proceedings of the 20th Pacific Rim Conference on Artificial Intelligence, PRICAI 2023, held in Jakarta, Indonesia, in November 2023.The 95 full papers and 36 short papers presented in these volumes were carefully reviewed and selected from 422 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.
Pricai 2023: Trends in Artificial Intelligence
This three-volume set, LNCS 14325-14327 constitutes the thoroughly refereed proceedings of the 20th Pacific Rim Conference on Artificial Intelligence, PRICAI 2023, held in Jakarta, Indonesia, in November 2023.The 95 full papers and 36 short papers presented in these volumes were carefully reviewed and selected from 422 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.
Machine Learning in Medical Imaging
The two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023. The 93 full papers presented in the proceedings were carefully reviewed and selected from 139 submissions. They focus on major trends and challenges in artificial intelligence and machine learning in the medical imaging field, translating medical imaging research into clinical practice. Topics of interests included deep learning, generative adversarial learning, ensemble learning, transfer learning, multi-task learning, manifold learning, reinforcement learning, along with their applications to medical image analysis, computer-aided diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
This book constitutes the refereed proceedings of the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2023, held in Arras, France, in September 2023. The 35 full papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in topical sections about Complexity and Database Theory; Formal Concept Analysis: Theoretical Advances; Formal Concept Analysis: Applications; Modelling and Explanation; Semantic Web and Graphs; Posters.
Google Cloud Associate Cloud Engineer Certification and Implementation Guide
Gain practical knowledge and hands-on expertise in implementing Google Cloud Platform services and prepare to confidently pass the exam on your first attemptKey Features: Explore Google Cloud Platform services and operations in depthGain hands-on experience to effectively employ Google Cloud servicesReceive tailored guidance for Associate Cloud Engineer certification from Google expertsPurchase of the print or Kindle book includes a free PDF eBookBook Description: Google Cloud Platform (GCP) is a leading cloud provider, helping companies and users worldwide to solve the most challenging business issues. This book will teach cloud engineers working with GCP how to implement, configure, and secure cloud environment, and help students gain confidence in utilizing various GCP services.The book begins by introducing you to Google Cloud and the ACE exam, including various resources that can help you pass. The next set of chapters will help you explore the various compute options in Google Cloud, such as Google Kubernetes Engine and Google Compute Engine. As you advance, you'll gain a clear understanding of the essence of the cloud, including networking and storage, as well as the data analytics products that Google Cloud provides. The chapters also cover key topics such as monitoring, logging, diagnostics, and price estimation along with the most crucial of subjects, security, with a particular focus on identity and access management. Finally, you'll be given the chance to test your newfound knowledge with the help of two mock exams.By the end of this book, you'll have learned the difference between various Google Cloud Platform services, along with specific use cases, and be able to implement these services with the GCP console and command-line utilities.What You Will Learn: Grasp the key topics needed to achieve ACE certificationImport and export data to and from Google CloudImplement and configure various networking options in Google CloudDerive insights from data with Google Data AnalyticsGain knowledge and experience in monitoring and loggingTest yourself in various scenarios while reading the bookChoose the optimal options to manage your solution's dataWho this book is for: This book is for anyone preparing for Associate Cloud Engineer certification. It can be used by IT system administrators as well as DevOps and it will be most useful to cloud architects as it covers all areas of Google Cloud Platform. This guide is ideal for those who want to start working with Google Cloud, gain practical knowledge, and achieve certification.
Jumping Computation
Jumping Computation: Updating Automata and Grammars for Discontinuous Information Processing is primarily a theoretically oriented treatment of jumping automata and grammars, covering all essential theoretical topics concerning them, including their power, properties, and transformations. From a practical viewpoint, it describes various concepts, methods, algorithms, techniques, case studies and applications based upon these automata and grammars.In today's computerized world, the scientific development and study of computation, referred to as the theory of computation, plays a crucial role. One important branch, language theory, investigates how to define and study languages and their models, which formalize algorithms according to which their computation is executed. These language-defining models are classified into two basic categories: automata, which define languages by recognizing their words, and grammars, which generate them. Introduced many decades ago, these rules reflect classical sequential computation. However, today's computational methods frequently process information in a fundamentally different way, frequently "jumping" over large portions of the information as a whole. This book adapts classical models to formalize and study this kind of computation properly. Simply put, during their language-defining process, these adapted versions, called jumping automata and grammars, jump across the words they work on.The book selects important models and summarizes key results about them in a compact and uniform way. It relates each model to a particular form of modern computation, such as sequential, semi-parallel and totally parallel computation, and explains how the model in question properly reflects and formalizes the corresponding form of computation, thus allowing us to obtain a systematized body of mathematically precise knowledge concerning the jumping computation. The book pays a special attention to power, closure properties, and transformations, and also describes many algorithms that modify jumping grammars and automata so they satisfy some prescribed properties without changing the defined language. The book will be of great interest to anyone researching the theory of computation across the fields of computer science, mathematics, engineering, logic and linguistics.
Human Choice and Digital by Default: Autonomy Vs Digital Determination
This book constitutes the refereed proceedings of the 15th IFIP TC 9 International Conference on Human Choice and Computers, HCC15 2022, in Tokyo, Japan, in September 2022.The 17 full papers presented were carefully reviewed and selected from 32 submissions. Summaries of 2 keynote presentations are also included. The papers deal with the constantly evolving intimate relationship between humans and technology.
The Mental Health of Gifted Intelligent Machines
The Mental Health of Gifted Intelligent Machines explores the increasingly sophisticated behaviours of developing AI and how we can ensure it will have emotional resilience, ethical strength and an ability to think in a new and enhanced way. Its primary aim is to change how we understand the world by investigating humanity as an intelligent being, examining and contrasting human and artificial intelligence.The book considers what we can learn from the likely mental health issues that will occur with increasingly sophisticated aspects of machine intelligence and how they will reflect the human condition. It asks questions about our identity in a deeply uncertain and disruptive ever-changing world; how we will improve and enhance our psychological intelligence to meet the increasing complications and demands of the future; and what we need to do, now, to be psychologically intelligent enough to live a full meaningful life in a new world evolving around us. The book argues that changes in our understanding of mental health, psychology and our view of intelligence will challenge huge aspects of our fundamental beliefs and assumptions and that it is essential we explore new arenas to further understand both our own human psychological issues and mental health as we develop gifted intelligent machines.It is a must read for all students, researchers and professionals involved with AI, gifted education, consciousness and mental health.
Hybrid Artificial Intelligent Systems
This book constitutes the refereed proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2023, held in Salamanca, Spain, during September 5-7, 2023.The 65 full papers included in this book were carefully reviewed and selected from 120 submissions. They were organized in topical sections as follows: ​Anomaly and Fault Detection, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization, HAIS Applications, Image and Speech Signal Processing, Agents and Multiagents, Biomedical Applicatons.
Practical Ansible - Second Edition
Leverage the power of Ansible to gain complete control over your systems and automate deployments along with implementing configuration changesKey Features: Orchestrate major cloud platforms such as OpenStack, AWS, and AzureUse Ansible to automate network devicesAutomate your containerized workload with Docker, Podman, or KubernetesPurchase of the print or Kindle book includes a free PDF eBookBook Description: Ansible empowers you to automate a myriad of tasks, including software provisioning, configuration management, infrastructure deployment, and application rollouts. It can be used as a deployment tool as well as an orchestration tool. While Ansible provides simple yet powerful features to automate multi-layer environments using agentless communication, it can also solve other critical IT challenges, such as ensuring continuous integration and continuous deployment (CI/CD) with zero downtime.In this book, you'll work with the latest release of Ansible and learn how to solve complex issues quickly with the help of task-oriented scenarios. You'll start by installing and configuring Ansible on Linux and macOS to automate monotonous and repetitive IT tasks and learn concepts such as playbooks, inventories, and roles. As you progress, you'll gain insight into the YAML syntax and learn how to port between Ansible versions. Additionally, you'll understand how Ansible enables you to orchestrate multi-layer environments such as networks, containers, and the cloud.By the end of this Ansible book, you'll be well versed in writing playbooks and other related Ansible code to overcome all your IT challenges, from infrastructure-as-a-code provisioning to application deployments and handling mundane day-to-day maintenance tasks.What You Will Learn: Explore the fundamentals of the Ansible frameworkUnderstand how collections enhance your automation effortsAvoid common mistakes and pitfalls when writing automation codeExtend Ansible by developing your own modules and pluginsContribute to the Ansible project by submitting your own codeFollow best practices for working with cloud environment inventoriesTroubleshoot issues triggered during Ansible playbook runsWho this book is for: This book is for DevOps engineers, administrators, or any IT professionals looking to automate IT tasks using Ansible. Prior knowledge of Ansible is not a prerequisite.
Testing in Metaverse
A complete resource for testing metaverse platforms and productsDESCRIPTION The metaverse is an emerging technology that is growing exponentially. As the market for metaverse products and platforms continues to grow, it is important to ensure their quality. This book provides a practitioner's view of quality engineering techniques and best practices that can be leveraged in the metaverse."Testing in Metaverse" is a comprehensive and engaging exploration of the metaverse, a vast and ever-evolving digital realm. It covers all aspects of the metaverse, from its platforms and technical complexities to its impact on different industries and sectors. It also discusses the importance of compliance and ethical considerations in the metaverse, as well as the allure of virtual worlds within this vast digital space. By the end of the book, you will have a comprehensive understanding of the metaverse and its potential for quality assurance. The book will help you get familiar with the different types of metaverse platforms, the technical complexities involved in their development, and the challenges of testing them effectively. The book will also help you understand the importance of compliance and ethical considerations in the metaverse and the different ways that these can be addressed.WHAT YOU WILL LEARN● Explore the intricacies of Metaverse technology and its integration with a broader ecosystem of products.● Discover the convergence of Metaverse platforms with the digital enterprise landscape.● Understand the relevance of Quality Engineering/Testing validation techniques for various use cases within the Metaverse.● Learn about the automated tools that can be harnessed to ensure efficiency in Metaverse testing.● Gain insights into the evolving future of the Metaverse and its implications on testing practices.WHO THIS BOOK IS FORThis book is for Quality Engineering/Testing professionals seeking to grasp the testing imperatives in the Metaverse and to readers who desire an overview and understanding of this transformative digital frontier.
Et al.
Et al. is a satirical academic journal that uses machine learning and scientific principles on absurd studies, from the cat Lord Whiskers' role in the extinction of the dodo bird to the quantum mysteries of untidy toddler rooms.Key FeaturesConducts satirical research on topics ranging from quantum computing to clingy robot dog algorithmsAnswers questions like "Can a computer understand a Scotsman?" and "Is Sarah Palin real?"Secures the power grid and your home from the prying eyes of government drones a.k.a. birdsExpands science by studying cow-based atmospheres, and the flavortown center of the brainSolves climate change and saves the world by proposing a banana-based fission reactorNullifies the possibility of getting lost at the fair with a mirror-house escape algorithmBook DescriptionTired of the same old math, science, statistics, and programming memes people post online and want something a little more elaborate? This is the book for you.Tremble as we make up all our own facts and data, hand-draw diagrams in MS Paint, and quote from fictional studies and journals. Cower as authors write in the first person because their study is just a little too personal for them. Recoil from the sheer mass of oversimplified methodology, distilling someone's entire thesis into a paragraph of jokes crude enough to make it into a Mike Myers movie.Over the last few years, we have taken arguments that you would normally have after four Jack and cokes at game night and turned them into properly formatted research papers with a writing tone serious enough to confuse the uninitiated. These papers are high-effort jokes by researchers and scientists for researchers and scientists. They cover a range of topics such as the consequences of re-releasing tourists back into Yellowstone National Park after COVID-19, how to play StarCraft competitively online on a quantum computer, and most importantly, how trees around the globe are becoming increasingly radicalized.What you will learnHow to draw a graph using MS Paint, maybeWhether Sarah Palin is a figment of your imaginationHow one pirate cat brought about the extinction of the beloved dodoWhy rabbits used to be jerks back in the dayIf you actually learn anything from these articles, get your memory erased immediatelyWho this book is forThis book is for researchers and those who love science mingled with humor. It's for those who are a little too tired of the talking heads and futurists of the science world and would like something more entertaining in the form of absurd speculative studies by researchers as unbelievable as their work. Anyone who has experienced academic writing, or the tribulations of any research institution will enjoy the wide range of bizarre, yet real-world topics compiled in this book. Even if you don't know much about the subject, we usually have a background section.Table of ContentsThe Pirate Kitty Theory: How a House Cat BeingCows All the Way Down: Could Cow-Based Planetoids Support Methane Atmospheres?Ecological Impacts of Re-Releasing Tourists into YellowstoneThe Great Rabbit War of 863AD: Myth or Historical Fact?The Cat Homing Infrared Laser Drone Defense (CHILD) System: A Novel Approach to Suburban DefenseThe Sarah Palin Mandela Effect: How America Believes in a Fictional PoliticianUtilitarianism, Shame, and Mysticism: Autonomous Vehicle Moral Compass Design and AnalysisA Comparative Analysis of Trevor's Mom: Age Estimation MethodologyAdaptive Smart Grids for Migratory Government Drones(N.B. Please use the Look Inside option to see further chapters)
MATLAB Machine Learning Recipes
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.What You Will LearnWrite code for machine learning, adaptive control, and estimation using MATLABUse MATLAB graphics and visualization tools for machine learningBecome familiar with neural netsBuild expert systemsUnderstand adaptive controlGain knowledge of Kalman FiltersWho This Book Is ForSoftware engineers, control engineers, university faculty, undergraduate and graduate students, hobbyists.
