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Notes

table of contents
  1. Foreword
  2. Setting Up a Python Programming Environment
  3. An Introduction to Machine Learning
  4. How To Build a Machine Learning Classifier in Python with Scikit-learn
  5. How To Build a Neural Network to Recognize Handwritten Digits with TensorFlow
  6. Bias-Variance for Deep Reinforcement Learning: How To Build a Bot for Atari with OpenAI Gym

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