| Description |
1 online resource (832 pages) |
| Summary |
"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 2 - the author 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." -- Provided by publisher. |
| Subject |
TensorFlow.
|
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Machine learning.
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Artificial intelligence.
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Python (Computer program language)
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Artificial Intelligence |
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Machine Learning |
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Apprentissage automatique. |
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Intelligence artificielle. |
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Python (Langage de programmation) |
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artificial intelligence. |
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Artificial intelligence |
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Machine learning |
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Python (Computer program language) |
| Added Author |
Shimoda, Norihiro, translator, editor.
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下田倫大, translator, editor.
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Nagao, Takahiro, 1960- translator.
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長尾高弘, 1960- translator.
|
| ISBN |
9784873119281 (electronic bk.) |
|
4873119286 (electronic bk.) |
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