Artificial Intelligence

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...

This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262539333Author Peter DauvergneFormat PaperbackPage Count 272Imprint MIT PressPublisher MIT Press Ltd

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 like LIME, SHAP, and others to explain your machine learning models with ease. Key Features * Understand the trade-off between model complexity and explainability * Understand the importance of monitoring production models and...

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

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262044127Author Herbert L. RoitblatFormat HardbackPage Count 336Imprint MIT PressPublisher MIT Press Ltd

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 Features Build machine learning apps on Amazon Web Services (AWS) using SageMaker, Apache Spark and TensorFlow Learn model...

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...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781923045804Author Andrew HintonFormat PaperbackPage Count 164Imprint Book Bound StudiosPublisher Book Bound StudiosWeight(grams) 227gDimensions(mm) 229mm *...

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262047739Author Igor TulchinskyFormat HardbackPage Count 232Imprint MIT PressPublisher MIT Press Ltd

Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep...

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT dataKey FeaturesDiscover quick solutions to common problems that you'll face while building smart IoT applicationsImplement advanced techniques such...

With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transformative technology. Clearly, those who are the first to deliver business-relevant AI will gain significant...

Master the art of training large language and vision models with the help of conceptual fundaments and industry-expert guidance Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn to develop, train, tune, and apply your...

Build over 8 chatbots and conversational user interfaces with leading tools such as Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, Alexa Skills, and Google Actions and deploying them on channels like Facebook Messenger, Amazon Alexa and Google...

Why has so much of our recent attention been focused on AI while RI (Real Intelligence) is all but forgotten? And why are we spending so much energy debating the future of AI rather than that of its human original? Why can't those who are concerned about...

Become an AI language understanding expert by mastering the quantum leap of Transformer neural network model Key Features * Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that...

A revealing genealogy of image-recognition techniques and technologies Today's most advanced neural networks and sophisticated image-analysis methods come from 1950s and '60s Cold War culture-and many biases and ways of understanding the world from that...

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for the exercises at the end of each chapter is available to teaching instructors...

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly...

This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an essential part of every internet-based business today. You'll start by learning basic concepts of recommender...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781735424538Author Steven ShwartzFormat PaperbackPage Count 288Imprint Fast Company PressPublisher Fast Company PressWeight(grams) 426gDimensions(mm) 229mm...

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of...

Weighing in from the cutting-edge frontiers of science, today's most forward-thinking minds explore the rise of "machines that think." Stephen Hawking recently made headlines by noting, "The development of full artificial intelligence could spell the...

If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. As a student, researcher, hacker, or enthusiast, you'll learn as you follow examples written in Python - the...