Book Content
chapters • 12h36m total length
1. Getting started with Machine Learning
2. Decision Tree Learning
3. K-Neares Neighbor Classifier
4. Clustering
5. Rule learning
6. Linear Regression and Gradient Descent
7. Logistic Regression
8. Neural Networks
9. Convolutional Neural Networks and Computer Vision
10. Word Embeddings and Natural Language Processing
11. Machine Learning Libraries
12. Optimizing neural networks for mobile devices
13. Best Practices
