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Product Information
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who kw close to thing about this techlogy can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-scikit-learn and TensorFlow-author Aurelien Geron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm detailsProduct Identifiers
PublisherO'reilly Media, Inc, USA
ISBN-101491962291
ISBN-139781491962299
eBay Product ID (ePID)232482185
Product Key Features
TypeTextbook
FormatPaperback
LanguageEnglish
AuthorAurelien Geron
SubjectComputing: Professional & Programming
Additional Product Features
Date of Publication24/03/2017
Place of PublicationSebastopol
Country of PublicationUnited States
Author BiographyAurelien Geron has worked as a software engineer for a consulting firm in Paris, an IoT startup in Montreal (back in 1999!), and has also worked as co-founder and CTO of a leading wireless ISP in France (Wifirst). He was the product manager for YouTube's video classification team.He has authored a WiFi book, a C++ book, and taught CS in French engineering schools. A few personal fun facts: Aurelien grew up in France, Nigeria, New Zealand, and the U.S. (Berkeley). He studied microbiology and evolutionary genetics before going into software engineering. He was the singer in a rock band, has 2 turtles and 3 hens, has scuba dived with 10-foot sharks, taught his 5-year-old son to count in binary on his fingers (up to 1023), and his parachute didn't open on the 2nd jump.
Content NoteBlack & White Illustrations
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- 04 Feb, 2020
Book purchased
It said there are some scratches on the cover of the book, but it’s very new and I cannot even recognize it’s old. Thanks.Verified purchase: YesCondition: Pre-owned
- 18 Feb, 2021
Excellent book for one who machine learning beginners
AwesomeVerified purchase: YesCondition: Pre-owned
- 25 Mar, 2020
Good
Verified purchase: YesCondition: Pre-owned
- 21 Feb, 2018
Five Stars
Thank you!!!Verified purchase: YesCondition: Pre-owned
