HY Lee ML

I collects the notes I made for Prof. Hung-Yi Lee’s youtube ML Lectures here.

Lecture 0 Introduction

Lecture 1 Regression

Lecture 2 Model selection, sources of error and cross validation

Lecture 3 Gradient descent

Lecture 4 Classification: Probabilistic Generative Model

Lecture 5 Classification: Logistic Regression

Lecture 6 Brief Introduction to Deep Learning

Lecture 7 Backpropagation

Lecture 9 Tips for Deep Learning

Lecture 10 CNN

Lecture 11 Why Deep?

Lecture 12 Semi-Supervised Learning

Lecture 13 Unsupervised Learning: Linear Methods

Lecture 14 Word Embedding

Lecture 15 Neighbor Embedding

Lecture 16 Auto-Encoder

More about Auto-Encoder

Lecture 17 & 18 Deep Generative Model

Lecture 19: Transfer Learning

Lecture 20: Support Vector Machine

Lecture 21: RNN

Lecture 22: Ensemble

Lecture 23: Reinforcement Learning

Self-Attention

Transformer

Normalization