Includes bibliographies and indexes.
|Statement||contributing authors, John Anderson ... [et al.] ; editors, Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell.|
|Contributions||Anderson, John R. 1947-, Michalski, Ryszard Stanislaw, 1937-, Carbonell, Jaime G., Mitchell, Tom M. 1951-|
|LC Classifications||Q325 .M32 1983|
|The Physical Object|
|Pagination||xi, 572 p. :|
|Number of Pages||572|
|LC Control Number||82010654|
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems/5(34). May 08, · Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) “The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. 7 books about machine learning for beginners 1. "Machine Learning For Absolute Beginners: A Plain English Introduction 2. "Machine Learning For Dummies" by John Paul Mueller and Luca Massaron. 3. "Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples. Best machine learning books Score A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.
This book didn't warrant the name Machine Learning. There are a total of 4 stories that have anything to do with the topic. It was a gross misrepresentation of the content of the book and that is almost as annoying as the fact that the Silo stories (which are in the book and after which the book could have been named) were far more interesting /5. Machine Learning is what drives AI. Experts in this domain are rare, employers fight for the ML-skilled talent. With this book, you will learn how Machine Learning works. A hundred pages from now, you will be ready to build complex AI systems, pass an interview or start your own business. All you need to know about Machine Learning in a hundred pages. Machine learning methods can be used for on-the-job improvement of existing machine designs. The amount of knowledge available about certain tasks might be too large. An MIT Press book Ian Goodfellow and Yoshua Bengio and Aaron Courville The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.