Neural Networks

This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling...

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from...

A Sunday Times Business Book of the Year.Scary Smart will teach you how to navigate the scary and inevitable intrusion of Artificial Intelligence, with an accessible blueprint for creating a harmonious future alongside AI. From Mo Gawdat, the former...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262048644Author Simon J.D. PrinceFormat HardbackPage Count 544Imprint MIT PressPublisher MIT Press LtdWeight(grams) 1310gDimensions(mm) 236mm * 210mm *...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262035613Author Ian GoodfellowFormat HardbackPage Count 800Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 229mm * 178mm * 25mm

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image...

DESCRIPTIONDeep learning is applicable to a widening range of artificialintelligence problems, such as image classification, speech recognition,text classification, question answering, text-to-speech, and opticalcharacter recognition. Deep Learning with...

We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and...

Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field...

This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262039246Author Richard S. SuttonFormat HardbackPage Count 552Imprint MIT PressPublisher MIT Press Ltd

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262049375Author Stefano V. AlbrechtFormat HardbackPage Count 394Imprint MIT PressPublisher MIT Press Ltd

What is artificial intelligence? Can I realistically use it in my school? What's best done by human intelligence vs. artificial intelligence, and how do I bring these strengths together? What would it look like for me, and my school, to be AI Ready?AI...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780956372819Author James V StoneFormat PaperbackPage Count 218Imprint Sebtel PressPublisher Sebtel PressWeight(grams) 299gDimensions(mm) 229mm * 152mm * 12mm

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...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780645510553Author I AlmeidaFormat PaperbackPage Count 422Imprint Ines Alexandra de Castro AlmeidaPublisher Ines Alexandra de Castro AlmeidaWeight(grams)...

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that...

You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't...

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient...

Apply advanced techniques for optimising machine learning processes For machine learning practitioners confident in maths and statistics. Bayesian Optimization in Action shows you how to optimise hyperparameter tuning, A/B testing, and other aspects of...

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small...

Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principlesImage classification and image segmentationTime series...

Deep Learning: A Visual Approach helps demystify the algorithms that enable computers to drive cars, win chess tournaments, and create symphonies, while giving readers the tools necessary to build their own systems to help them find the information...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262037310Author Jonas PetersFormat HardbackPage Count 288Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 229mm * 178mm * 16mm

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function.  Math and Architectures of Deep Learning bridges the gap between...

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...

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...

Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR's current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user's everyday experiences. In this...

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size--small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep...

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

Distant galaxies, dark matter, black holes - elusive, incomprehensible and inhospitable - these are the building blocks of modern physics. But where do we fit in this picture? 'A delightful account of one of the deepest and most fascinating...

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...

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and...

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...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781950922512Author Neil WilkinsFormat PaperbackPage Count 114Imprint Bravex PublicationsPublisher Bravex PublicationsWeight(grams) 177gDimensions(mm) 229mm...

Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the...

- The author is one of the most influential AI reseachers of recent decades.- Written in an accessible language, the book provides a probing account of AI today and proposes a new narrative to connect and make sense of events that happened in the recent...

ONE OF THE SUNDAY TIMES' BUSINESS BOOKS OF THE YEAR Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262511117Author James A. AndersonFormat PaperbackPage Count 448Imprint Bradford BooksPublisher MIT Press LtdWeight(grams) 930gDimensions(mm) 251mm *...