Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow ebook

$36.00

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 bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and Tensor Flow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aur?lien G?ron 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. Use Scikit-learn to track an example ML project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers Use Tensor Flow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning Additional ISBNs9781098122478Hands-On Machine Learning with Scikit-Learn, Keras, and Tensor Flow 3rd Edition is written by Aur?lien G?ron and published by O'Reilly Media. ISBNs for Hands-On Machine Learning with Scikit-Learn, Keras, and Tensor Flow are 9781098122461, 1098122461 and the print ISBNs are 9781098125974, 1098125975. Additional ISBNs include 9781098122478.

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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 bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and Tensor Flow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aur?lien G?ron 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. Use Scikit-learn to track an example ML project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers Use Tensor Flow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning Additional ISBNs9781098122478Hands-On Machine Learning with Scikit-Learn, Keras, and Tensor Flow 3rd Edition is written by Aur?lien G?ron and published by O’Reilly Media. ISBNs for Hands-On Machine Learning with Scikit-Learn, Keras, and Tensor Flow are 9781098122461, 1098122461 and the print ISBNs are 9781098125974, 1098125975. Additional ISBNs include 9781098122478.