Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Info and Reading Options
Concepts, Tools, and Techniques to Build Intelligent Systems
By Aurélien Géron
"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" was published by O'Reilly Media, Incorporated in 2022 - Beijing, it has 834 pages and the language of the book is English.
“Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” Metadata:
- Title: ➤ Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Author: Aurélien Géron
- Language: English
- Number of Pages: 834
- Publisher: O'Reilly Media, Incorporated
- Publish Date: 2022
- Publish Location: Beijing
“Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” Subjects and Themes:
- Subjects: ➤ machine learning - Mathematics - TensorFlow - Python (Computer program language) - Machine learning - Artificial intelligence - Apprentissage automatique - Python (Langage de programmation) - Intelligence artificielle - artificial intelligence
Edition Specifications:
- Pagination: 850
Edition Identifiers:
- The Open Library ID: OL38327656M - OL20709638W
- ISBN-13: 9781098125974
- All ISBNs: 9781098125974
AI-generated Review of “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow”:
"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" Description:
Open Data:
"Through a recent series of 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 best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started"--
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