Hands-On Machine Learning with Scikit-Learn & TensorFlow

  • 1 The Machine Learning Landscape
  • 2 End-to-End Machine Learning Project
  • 3 Classification
  • 4 Training Models
  • 5 Support Vector Machines
  • 6 Decision Trees
  • 7 Ensemble Learning and Random Forests
  • 8 Dimensionality Reduction
  • 9 Up and Running with TensorFlow
  • 10 Introduction to Artificial Neural Networks
  • 11 Training Deep Neural Nets
  • 12 Distributing TensorFlow Across Devives and Servers
  • 13 Convolutional Neural Networks
  • 14 Recurrent Neural Networks
  • 15 Autoencoders
  • 16 Reinforcement Learning

1 The Machine Learning Landscape

2 End-to-End Machine Learning Project

3 Classification

4 Training Models

5 Support Vector Machines

6 Decision Trees

7 Ensemble Learning and Random Forests

8 Dimensionality Reduction