Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow

By Géron Aurélien,

Book cover of Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems

Book description

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,…

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Why read it?

1 author picked Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow as one of their favorite books. Why do they recommend it?

There are three types of machine learning books — books written for people who want to become machine learning engineers, books written for people who want to become machine learning researchers, and books written for business executives. Reading a book written for researchers or executives can be a frustrating experience if you are a software engineer, social scientist, or mechanical engineer who wants to learn machine learning and get an ML job in the industry.

If you are a coder who wants to become an ML engineer, you have got to learn machine learning concepts, but you…

From Valliappa's list on to become a machine learning engineer.

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