1. Introduction

2. General Issues

3. KNN

4. KNC

5. NBC

6. Regression

7. SVM

8. SOM

9. Decision Trees

10. Machine vs. Deep Learning

11. Appendix A - Notes on Linear Algebra

12. Transformers

13. LLM/NLP 

References

Paul Willmott: Machine Learning - An applied Mathematics Introduction

Charu C. Aggarwal: Linear Algebra and Optimization for Machine Learning