# Sophia-11/Machine-Learning-Notes

周志华《机器学习》手推笔记

Repository: https://github.com/Sophia-11/Machine-Learning-Notes
Canonical: https://ross.abutalabs.com/products/sophia-11-machine-learning-notes
License Family: other
Topics: machine-learning, deep-learning, notes, phd, algorithms, artificial-intelligence
Last push: 2021-03-13T03:19:59+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2539, "days_push": 1999, "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 3783, forks 745 (observed 2026-08-28T04:08:18.539791+00:00)

## What it is
A collection of 214 pages of handwritten study notes covering all 16 chapters of Zhou Zhihua's Machine Learning textbook (the 'Watermelon Book'), including derivations of formulas for topics like SVMs, neural networks, Bayesian classifiers, and reinforcement learning. It is a static educational resource distributed as printable PDF notes rather than runnable software.

## Use cases
- study machine learning textbook formulas with worked derivations
- prepare for ML exams or PhD qualifying interviews
- find handwritten explanations of SVM and neural network math
- supplement reading Zhou Zhihua's Machine Learning book
- printable notes for reviewing model evaluation and decision trees
- learn reinforcement learning and probabilistic graphical models basics

## When to choose
- you are studying the Watermelon Book and want step-by-step formula derivations
- you prefer handwritten Chinese-language notes you can print
- you want a free companion resource for ML coursework

## When to avoid
- you need runnable code or implementations of the algorithms
- you want English-language materials
- you need up-to-date content on modern deep learning architectures

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: machine-learning, artificial-intelligence, tutorials
- platform: cross-platform
- tags: handwritten-notes, textbook-companion, watermelon-book, chinese, pdf-notes, study-guide

## Member repositories
- Sophia-11/Machine-Learning-Notes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:18.539791+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 2026-08-29T18:27:42.967346+00:00, confidence not recorded.
  - readme: https://github.com/Sophia-11/Machine-Learning-Notes (fetched 2026-08-28T04:08:18.539791+00:00, sha 785e561459e9)
- Data as of 2026-08-30T08:39:29.467469+00:00.