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based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)

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book cover

ebook repo

book chapters

  1. Intro to Machine Learning
  2. Example end-to-end Machine Learning project (California Housing dataset)
  3. Basic Classification
  4. Training Techniques
  5. Support Vector Machines
  6. Decision Trees
  7. Ensemble Learning & Random Forests
  8. Dimensionality Reduction
  9. TensorFlow Installation & Checkout
  10. TensorFlow & Neural Nets
  11. TensorFlow Training
  12. TensorFlow on Distributed Hardware
  13. Convolutional Neural Nets
  14. Recurrent Neural Nets
  15. Autoencoders
  16. Reinforcement Learning

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