A curated survival kit for Hsuan-Tien Lin’s ML courses

What it does

This repository is a curated archive of materials for two National Taiwan University machine learning courses once taught on Coursera by Hsuan-Tien Lin. It gathers Bilibili video links, lecture slides, a complete set of study notes merged into a single PDF, and the textbook Learning From Data with its extension chapters. It is essentially a fan-built filing cabinet for a university lecture series that predates the current deep-learning hype cycle.

The interesting bit

The maintainer did not simply bookmark links; they rewrote and typeset detailed personal notes, published them as blog posts, and bundled the PDFs for offline reading. The repo also hosts the full courseware and the textbook’s extra chapters, which are not always easy to find outside the original course platform.

Key highlights

• Covers two 16-lecture sequences: “Machine Learning Foundations” and “Machine Learning Techniques.”
• Topics span kernel SVMs, boosting, random forests, neural networks, deep learning, and matrix factorization.
• Includes a single combined PDF of all study notes in the repository root, plus individual note files.
• Bundles the textbook Learning From Data (which the README notes holds a 9.4 Douban rating) and its course-specific extension chapters.
• All video links point to Bilibili mirrors of the original lectures.

Verdict

Grab it if you read Chinese and want a structured, offline-ready path through classical ML theory. Skip it if you are looking for executable code or English-language transcripts; this is a neatly labeled shelf of PDFs and slides.