Hands-On Machine Learning with C++

Table of Contents

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 BERT and Transfer Learning
12. Exporting and Importing Models
13. Tracking and Visualizing ML Experiments
14. Deploying Models on a Mobile Platform