Learn With Me

I’m sharing my learning journey with all of you! Previously I was using OneNote for note-taking. It is easy-to-use but very inconvenient for sharing. I am transitioning towards MarkDown-based note-taking using Obsidian, and I’ll try posting as much of them as possible right here.

CSE291: Unsupervised Learning

• Proximity measures, data statistics
• Clustering and projection, SVD, SVD applications
• Maximum-likelihood Estimation, maximum entropy
• Bayesian inference, high-dimensional distributions

CSE251a Machine Learning

• Math and statistic basics, norm and optimization
• Regression and regularization
• SVM, clustering, PCA, Ensemble learning
• Naive bayes

CSE203b Convex Optimization

• Convex sets, convex functions.
• Problem statement, duality
• Unconstrained optimization, constrained optimization

CSE167 Intro to Computer Graphics

• Linear algebra basics, transformation matrices
• Viewing pipeline, OpenGL framework 1, OpenGL framework 2
• Shading, curves, raster graphics
• Ray-tracing, texture