Hands-on machine learning with scikit-learn and tensorflow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron.
Material type: TextPublisher: Sebastopol, CA : O'Reilly Media, 2019Edition: First edition; Twelfth releaseDescription: xx, 551 pages : illustrations ; 24 cmContent type:- text
- still image
- unmediated
- volume
- 9781491962299
- 006.31 GÉR 22
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Book - Borrowing | Central Library Lower Floor | Baccah | 006.31 GÉR (Browse shelf(Opens below)) | Available | 000049060 |
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Includes index.
Includes appendices.
"Through a series of recent 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 data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow--author Aurélien Géron 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" Back cover.
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