# shuhuai007/Machine-Learning-Session

Repository: https://github.com/shuhuai007/Machine-Learning-Session
Canonical: https://ross.abutalabs.com/products/machine-learning-session
License Family: other
Last push: 2020-04-13T02:01:56+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2862, "days_push": 2334, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5254, forks 1080 (observed 2026-08-28T04:09:13.723256+00:00)

## What it is
A curated index of a Chinese-language machine learning video lecture series ('Whiteboard Derivations') hosted on Bilibili, covering foundational mathematical derivations of classic ML topics like SVM, EM, GMM, and variational inference. The repository itself contains links and ordering for the videos rather than code.

## Use cases
- learn machine learning fundamentals from first-principles derivations
- understand the math behind SVM, EM algorithm, and Gaussian mixture models
- study variational inference and MCMC with whiteboard-style explanations
- find a structured beginner-friendly ML lecture series in Chinese
- review probabilistic graphical models and Bayesian linear regression

## When to choose
- you want intuitive, hand-derived explanations of classic ML algorithms
- you prefer Chinese-language video lectures
- you need mathematical foundations before diving into deep learning

## When to avoid
- you need runnable code or practical implementation examples
- you want up-to-date content on deep learning or LLMs (last updated 2020)
- you need English-language instruction

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning
- domain: machine-learning, tutorials, education
- platform: -
- tags: video-series, whiteboard-derivations, math-foundations, bilibili, chinese-language, web-server

## Member repositories
- shuhuai007/Machine-Learning-Session (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:13.723256+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:59:33.098521+00:00, confidence not recorded.
  - readme: https://github.com/shuhuai007/Machine-Learning-Session (fetched 2026-08-28T04:09:13.723256+00:00, sha c846426c9f69)
- Data as of 2026-08-30T08:39:29.467469+00:00.