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

Aurelien Geron ★ 3.6/5 · ItemOracle Score Mid-Range

$48 USD
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

A comprehensive guide to building intelligent systems using scikit-learn, Keras, and TensorFlow. Useful for beginners in supervised learning and practical model development. Customer insight notes thoroughness and engaging writing style, with some language heaviness

Highlights

  • cover of scikit-learn, Keras, TensorFlow
  • concepts-to-implementation workflow
  • concepts, tools, and techniques for intelligent systems

Pros

  • thorough and comprehensive coverage
  • engaging writing style
  • practical focus on tools and techniques
  • suitable for beginners in supervised learning
  • includes concepts, tools, and techniques

Cons

  • language can be very word-heavy

Best For

  • learning machine learning fundamentals
  • hands-on model development with scikit-learn
  • building neural networks with Keras
  • deploying models with TensorFlow
  • reference for Python programming in ML

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