Book Content
chapters • 17h32m total length
1. Getting Started with Machine Learning and Python
2. Building a Movie Recommendation Engine with Naïve Bayes
3. Recognizing Faces with Support Vector Machine
4. Predicting Online Ad Click-Through with Tree-Based Algorithms
5. Predicting Online Ad Click-Through with Logistic Regression
6. Scaling Up Prediction to Terabyte Click Logs
7. Predicting Stock Prices with Regression Algorithms
8. Predicting Stock Prices with Artificial Neural Networks
9. Mining the 20 Newsgroups Dataset with Text Analysis Techniques
10. Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
11. Machine Learning Best Practices
12. Categorizing Images of Clothing with Convolutional Neural Networks
13. Making Predictions with Sequences Using Recurrent Neural Networks
14. Making Decisions in Complex Environments with Reinforcement Learning
