CLRT19’s ML Blog

Introduction

This is the main page of my blog. I will post notes, thoughts, and paper reviews related to each of the below topics. Note this pages is still updating. Recent news will be posted on Blog Posts page.

During my sophomore summer, when I am organizing my Probability Theory courses, I found writing things down really helps me to remember and understand the materials. Thus, I decided to create some pointers and hopefully record something useful for myself and others.

Useful courses and books:

Topics:

Prerequisites

Probablity and Statistics

Linear Algebra

Analysis

Optimization

Machine Learning

PCA and Clustering

Neural Network

NLP

Research Topics

Optimal Transport

Out-of-Distribution Detection

Generative Model

Diffusion Model