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