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

Here are some key details about the book:

Audience: The book is intended for developers and data scientists who have some prior experience in Python programming and want to get started with machine learning or enhance their existing knowledge.

  • The initial sections of the book focus on machine learning using Scikit-Learn, introducing concepts like regression, classification, and clustering.
  • It then dives into neural networks and deep learning using Keras and TensorFlow.
  • Throughout the book, readers work on real-world datasets and projects to understand and apply the concepts.
  • Hands-On Approach: True to its name, the book emphasizes practical exercises and provides Jupyter notebooks that guide the readers through the various ML and deep learning techniques.

Concepts: Apart from coding and implementation, Géron also dives into the theory behind various algorithms, ensuring that readers not only know how to use a tool but also understand the principles behind it.

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