Machine Learning

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781632217684Author Patrick GilbertFormat PaperbackPage Count 344Imprint Mill City Press, Inc.Publisher Mill City Press, Inc.Weight(grams) 503gDimensions(mm)...

A robust and engaging account of the single greatest threat faced by AI and ML systems In Not With A Bug, But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them, a team of distinguished adversarial machine learning researchers...

Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision-making. With this practical book, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and...

While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create...

Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, and design; coding; and debugging, testing, and documentation. With this practical book, beginners and experienced developers...

Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this...

The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: Understanding an ML project's...

Machine learning algorithms are widely presumed to herald a world in which the crippling burdens of anxiety can be left behind. The digital revolution promises a brave new world where individuals, communities and organizations can at last take control of...

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In   Graph...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262048972Author Antonio TorralbaFormat HardbackPage Count 768Imprint MIT PressPublisher MIT Press Ltd

A hands-on introduction to machine learning and its applications to the physical sciencesAs the size and complexity of data continue to grow exponentially across the physical sciences, machine learning is helping scientists to sift through and analyze...

Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively Key Features Understand key concepts, from fundamentals through to complex topics, via a methodical...

AI is ready for business. Are you ready for AI?From financial modeling and product design to performance management and hiring decisions, AI and machine learning are becoming everyday tools for managers at businesses of all sizes. But AI systems come...

This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how...

All cloud architects need to know how to build data platforms-the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud...

If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781735431154Author Jim FrostFormat PaperbackPage Count 382Imprint Statistics by Jim PublishingPublisher Statistics by Jim PublishingWeight(grams)...

Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best...

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous...

How to put democracy at the heart of AI governanceArtificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide...

Now in its second edition, this accessible text presents a unified Bayesian treatment of state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models. The book focuses on discrete-time state space models...

Apologies but we at Booksplease don't have a full description for this book.AwardsWinner of Winner, 2009 DeGroot Prize for the best book in statistical science, awarded by the International Society for Bayesian Analysis. 2009.Book InformationISBN...

Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to...

Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262047012Author Mykel J. KochenderferFormat HardbackPage Count 704Imprint MIT PressPublisher MIT Press Ltd

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262542524Author Ethem AlpaydinFormat PaperbackPage Count 280Imprint MIT PressPublisher MIT Press Ltd

Named one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing...

Reinforcement learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262048019Author Marc G. BellemareFormat HardbackPage Count 400Imprint MIT PressPublisher MIT Press Ltd

Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll...

Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy.In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how...

With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You'll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential...

What will you do when your AI misbehaves?The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. Are you prepared for that risk?Already, many companies have suffered real damage when...

How big data and machine learning encode discrimination and create agitated clusters of comforting rage.In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal-not an error-within big data and machine learning. These methods, she...

This book is a practical and comprehensive guide on using AI tools to streamline and optimise the academic writing and research process.Through a series of step-by-step instructions and practical tips, this book provides readers with the knowledge and...

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning...

The definitive computer vision book is back, featuring the latest neural network architectures and an exploration of foundation and diffusion models Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Understand...

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong...

A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This...

This comprehensive guide to Android malware introduces current threats facing the world's most widely used operating system. After exploring the history of attacks seen in the wild since the time Android first launched, including several malware families...