Artificial Intelligence

The Internet has changed the past. Social media, Wikipedia, mobile networks, and the viral and visual nature of the Web have inundated the public sphere with historical information and misinformation, changing what we know about our history and History...

How Strategy Works in an Interconnected, Automated WorldLeaders already know that the classic approach to strategy--analyze, plan, execute--is losing relevance. But they don't yet know what replaces it. As everyone and everything becomes more...

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam...

Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the...

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781913029845Author Thomas MoynihanFormat PaperbackPage Count 224Imprint Urbanomic Media LtdPublisher Urbanomic Media Ltd

With artificial intelligence on the rise, the way we run our organisations will change-and drastically. But what exactly will that future look like? And who will take the leading role: machines or people? In this compelling new book, leading...

What Every Singer Needs to Know About the Body, Fourth Edition gives singers and teachers a Body Mapping resource - from anatomy and physiology to body awareness - that helps them discover and correct misconceptions about how their bodies are designed...

This book introduces readers to critical ethical concerns in the development and use of artificial intelligence. Offering clear and accessible information on central concepts and debates in AI ethics, it explores how related problems are now forcing us...

Artificial intelligence is headline news with the launch of the latest ChatGPT and Google Gemini. But when did we start making computers mimic the human mind? And what is the reality of the capabilities of AI now, and in the future?AI has always stirred...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789769609211Author Brigette Tasha HyacinthFormat PaperbackPage Count 296Imprint Brigette HyacinthPublisher Brigette Hyacinth

Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics,...

How the autonomous digital forces jolting our lives - as uncontrollable as the weather and plate tectonics - are transforming life, society, culture, and politics.David Auerbach's exploration of the phenomenon he has identified as the meganet begins with...

Recent combinations of semantic technology and artificial intelligence (AI) present new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development,...

Celebrate Christmas and discover 25 hidden surprises with Hedwig the owl, in this beautiful advent calendar and pop-up book inspired by the Harry Potter films! This must-have collectible designed by renowned paper engineer Matthew Reinhart brings...

Can you tell the difference between talking to a human and talking to a machine? Or, is it possible to create a machine which is able to converse like a human? In fact, what is it that even makes us human? Turing's Imitation Game, commonly known as the...

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262548731Author Eugene CharniakFormat PaperbackPage Count 196Imprint MIT PressPublisher MIT Press Ltd

Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our...

This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches...

Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics,...

Bayesian optimization is a methodology for optimizing expensive objective functions that has proven success in the sciences, engineering, and beyond. This timely text provides a self-contained and comprehensive introduction to the subject, starting from...

Although still in its earliest stages, artificial intelligence (AI) is radically transforming all aspects of society. With the immanent emergence of Artificial Super Intelligence (ASI) and the illusory temptations of `transhumanism', mankind stands at a...

'A fascinating hybrid. Part freewheeling history of the rise of the modern autonomous vehicle, part intimate memoir from an insider who was on the front lines for much of that history, Autonomy will more than bring readers up to speed on...

A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural...

Build simple, maintainable, and easy to deploy machine learning applications. About This Book * Build simple, but powerful, machine learning applications that leverage Go's standard library along with popular Go packages. * Learn the statistics,...

Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systemsKey FeaturesExplore various explainability methods for designing robust and scalable...

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780805074567Author Jeff HawkinsFormat HardbackPage Count 261Imprint Times BooksPublisher Times BooksWeight(grams) 544gDimensions(mm) 241mm * 184mm * 32mm

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems. Key Features Explore deep reinforcement learning (RL), from the first principles to the latest algorithms Evaluate high-profile RL methods,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780645977981Author I AlmeidaFormat PaperbackPage Count 128Imprint Now Next Later AIPublisher Now Next Later AIWeight(grams) 132g

Simple Heuristics That Make Us Smart invites readers to embark on a new journey into a land of rationality that differs from the familiar territory of cognitive science and economics. Traditional views of rationality tend to see decision makers as...

Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear...

Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features Gain expertise in prompt...

Multiagent systems combine multiple autonomous entities, each having diverging interests or different information. This overview of the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research,...

The expert guide to creating production machine learning solutions with ML.NET! ML.NET brings the power of machine learning to all .NET developers- and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Esposito's...

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for...

An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by...

Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow.Key FeaturesBuild machine learning apps on Amazon Web Services (AWS) using SageMaker, Apache Spark and TensorFlowLearn model optimization,...

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems...