lectures

Lecture 1: Introduction + Smoothers and Additive 1/3 (Jan. 27, 2020)

Lecture 2: Smoothers and Additive 2/3 (Jan. 29, 2020)

Lecture 3: Smoothers and Additive 3/3 (Feb. 03, 2020)

Lecture 4: Unsupervised Learning - Clustering 1 (Feb. 05, 2020)

Lecture 5: Unsupervised Learning - Clustering 2 (Feb. 10, 2020)

Lecture 6: Bayesian 1/3 (Feb. 12, 2020)

Lecture 7: Bayesian 2/3 (Feb. 19, 2020)

Lecture 8: Bayesian 3/3 (Feb. 24, 2020)

Lecture 9: ML/NN Roadmap (Feb. 26, 2020)

Lecture 10: CNNs 1/2 (Mar. 02, 2020)

Lecture 11: CNNs 2/2 (Mar. 04, 2020)

Lecture 12: Autoencoders + Unet (Mar. 09, 2020)

Lecture 13: RNNs 1 (Mar. 23, 2020)

Lecture 15: Text 2 (Mar. 25, 2020)

Lecture 14: RNNs 2 + Text 1 (Mar. 25, 2020)

Lecture 16: Language Models (Mar. 30, 2020)

Lecture 17: Language Models 2 (Apr. 01, 2020)

Lecture 18: VAE + Generative Models + GANs 1 (Apr. 06, 2020)

Lecture 19: GANs 2 (Apr. 08, 2020)

Lecture 20: Reinforcement Learning 1 (Apr. 13, 2020)

Lecture 21: Reinforcement Learning 2 (Apr. 15, 2020)

Lecture 26: (Jan. 24, 2021)

Lecture 25: (Jan. 24, 2021)

Lecture 24: (Jan. 24, 2021)

Lecture 23: (Jan. 24, 2021)

Lecture 22: (Jan. 24, 2021)