Book Content
chapters • 13h32m total length
1. Getting Started with Python Machine Learning
2. Classifying with Real-world Examples
3. Regression
4. Classification I – Detecting Poor Answers
5. Dimensionality Reduction
6. Clustering – Finding Related Posts
7. Recommendations
8. Artificial neural Networks & Deep Learning
9. Classification II – Sentiment Analysis
10. Topic Modeling
11. Classification III – Music Genre Classification
12. Computer Vision
13. Reinforcement Learning
14. Bigger Data
