2026.06.08
CS 189/C289A Introduction to Machine Learning Highlights
Highlights and references for UC Berkeley's machine learning course, organized around lectures, discussions, worksheets, and assignments.
Welcome to my blog “徐徐图之”, where I share my travels, photography, thoughts about music and movies, and of course also research projects.
Highlights and references for UC Berkeley's machine learning course, organized around lectures, discussions, worksheets, and assignments.
Notes on data science foundations, including pandas, data cleaning, exploratory analysis, regular expressions, visualization, and sampling.
Summary notes on generative AI foundations, data representations, language models, and related course modules.
Notes on linear algebra and differential equations, with links to course notes and visual references.
A structured summary of multivariable calculus topics, including parametric equations, polar coordinates, and course-note references.
Summary notes on discrete mathematics and probability, including logic, proof, counting, and probability foundations.
Notes on environmental remote sensing, large-scale observation, and spatial variation in environmental phenomena.
Chinese notes on financial statements, assets, liabilities, measurement methods, and balance-sheet analysis.
Project materials for the ACL 2025 paper on evaluating visual language models' basic spatial abilities from a psychometrics perspective.
A working index of math knowledge for machine learning, calculus, linear algebra, probability, optimization, and related foundations.
Notes on research practice, collaboration, machine learning workflows, and the deeper methods behind research.
A personal collection of favorite films, albums, genres, and cultural notes, including indie rock, dreampop, and shoegaze.
A growing diary for music and movie notes in 2026.
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