An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”―Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human compute... [Read More]
WARNING: will not work on e-ink Kindle devices!Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: "Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics — both theory and practice — that will be useful to practitioners, and for the reader who understands that this is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field."Aurélien Géron, Senior AI Engineer, author of the bestseller Han... [Read More]
Featured by Tableau as the first of "7 Books About Machine Learning for Beginners" Ready to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your epic journey into the world of machine learning, there is some theory and statistical principles to march through first. But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to the pract... [Read 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 filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix... [Read More]
Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize your machine learning systems and algorithmsBook DescriptionMachine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Rasc... [Read More]
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical... [Read More]
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential... [Read More]
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussio... [Read More]
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your applicat... [Read More]
The USA TODAY bestseller is now in paperback with a new chapter on Global Warming! This all-encompassing guide to skeptical thinking from podcast host and academic neurologist at Yale University School of Medicine Steven Novella and his SGU co-hosts, which Richard Wiseman calls "the perfect primer for anyone who wants to separate fact from fiction."It is intimidating to realize that we live in a world overflowing with misinformation, bias, myths, deception, and flawed knowledge. There really are no ultimate authority figures-no one has the secret, and there is no place to look up the definitiv... [Read More]
You are interested in becoming a machine learning expert but don't know where to start from? Don't worry you don't need a big boring and expensive Textbook. This book is the best guide for you.Get your copy NOW!!Why this guide? Here are the reasons:The author has explored everything about machine learning and deep learning right from the basics. A simple language has been used.Many examples have been given, both theoretically and programmatically.Screenshots showing program outputs have been added. The book is written chronologically, in a step-by-step manner.Book Objectives:The Aims and Objec... [Read More]
CONTENT YOU CAN TRUST Plays 200+ free classic stories, songs, and lessons that are designed by teachers and performed by professional voice actors to improve your child's reading and socioemotional skills. NO SCREEN TIME Designed for children 12 months+, Codi interacts using voice and buttons to avoid the potential negative effects of screen time. Listen to Codi or pair stories and songs with other activities. PERSONALIZED EXPERIENCE Uses AI technology to learn from your child's playtime to deliver a personalized playlist of stories and songs according to your child's age, interests, and abili... [Read More]
Soft sole baby shoes of brand Mejale, 100% genuine leather, non-slip wide sole is brushed on for comfort and protection. All our shoes have an elastic ankle so they are put on easily and remain on little feet, even though the shoes run bigger than the feet, the elastic band still helps the shoes stay on well. The leather has been tested for safety and is completely free of any nasty chemicals. Parents and pediatricians recommend this kind of soft leather shoes before any other type of first hard sole shoes. The soft leather protect soft baby bones, and make the feet growing more naturally. If... [Read More]
Develop your child's early learning with DK's My First series, specially designed to captivate a preschooler's attention while laying a foundation for learning. My First books feature bold, bright photographs on white backgrounds -- ideal
Discover why you will be able to understand Python programming language in less than 6 hours if you can read an English sentence... If you see a code called "print", what do you think is
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