Book Content
chapters • 17h40m total length
1. Introduction to Machine Learning with C++
2. Data Processing
3. Measuring Performance and Selecting Models
4. Clustering
5. Anomaly Detection
6. Dimensionality Reduction
7. Classification
8. Recommender Systems
9. Ensemble Learning
10. Neural Networks for Image Classification
11. Sentiment Analysis with Recurrent Neural Networks
12. Exporting and Importing Models
13. Deploying Models on Mobile and Cloud Platforms
