0. Hands on Machine Learning - Outline
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The Fundamentals of Machine Learning
The Machine Learning Landscape
End-to-End Machine Learning Project
Classification
Training Models
Support Vector Machines
Decision Trees
Ensemble Learning and Random Forests
Dimensionality Reduction
Neural Networks and Deep Learning
Up and Running with TensorFlow
Introduction to Artificial Neural Networks
Training Deep Neural Nets
Distributing TensorFlow Across Devices and Servers
Convolutional Neural Networks
Recurrent Neural Networks
Autoencoders
Reinforcement Learning
Reference
- Hands-On Machine Learning with Scikit-Learn and TensorFlow
- Errata for Hands-On Machine Learning with Scikit-Learn and TensorFlow
- GitHub: Hands-On Machine Learnging With Scikit-Learn and TensorFlow
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