Lecture Notes

Lecture 1: Introduction, Jan 7, 2020
Lecture 2: EDA Lab, Jan 9, 2020
Lecture 3: Statistical Learning, Jan 14, 2020
Lecture 4: Neural Networks, Jan 16, 2020
Lecture 5: Neural Networks 2, Jan 21, 2020
Lecture 6: Neural Networks 3, Jan 23, 2020
Lecture 7: Neural Networks 4, Jan 28, 2020
Lecture 8: Support Vector Machines, Jan 30, 2020
Lecture 9: Semi-Supervised Learning, Feb 6, 2020
Lecture 10: Reinforcement Learning, Feb 11, 2020
Lecture 11: Deep Q Learning, Feb 13, 2020
Lecture 12: Hyperparameter Tuning, Feb 18, 2020
Lecture 13: Unsupervised Learning, Feb 20, 2020
Lecture 14: Ethical Considerations, Feb 24, 2020
Lecture 15: Review, Feb 27, 2020