# jindongwang/MachineLearning

一些关于机器学习的学习资料与研究介绍

Repository: https://github.com/jindongwang/MachineLearning
Canonical: https://ross.abutalabs.com/products/jindongwang-machinelearning
License Family: other
Topics: machine-learning, transfer-learning, activity-recognition
Last push: 2018-11-10T08:38:59+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": 4035, "days_push": 2853, "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 2017, forks 616 (observed 2026-08-28T04:06:06.041388+00:00)

## What it is
A curated collection of machine learning learning resources, primarily in Chinese, covering textbooks, video courses, code implementations, and Kaggle practice material. It also organizes links by research subfield such as deep learning, reinforcement learning, transfer learning, computer vision, and NLP.

## Use cases
- find a machine learning textbook to start with
- learn machine learning in Chinese
- get started with deep learning courses
- find python implementations of classic ML algorithms
- prepare for Kaggle beginner competitions
- find resources on transfer learning
- collect deep learning papers and surveys

## When to choose
- you are a beginner looking for a structured path into machine learning
- you prefer Chinese-language textbooks, lectures, and tutorials
- you want a single index of resources across ML subfields

## When to avoid
- you need runnable software or a library rather than links
- you only want up-to-date English-language resources
- you need an actively maintained project - the README points to a newer repository

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, nlp, computer-vision
- domain: machine-learning, deep-learning, tutorials, awesome-lists, computer-vision
- platform: cross-platform
- tags: curated-list, chinese-resources, transfer-learning, study-guide, courses, textbooks, natural-language-processing

## Member repositories
- jindongwang/MachineLearning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.041388+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 2026-08-30T03:00:40.719437+00:00, confidence not recorded.
  - readme: https://github.com/jindongwang/MachineLearning (fetched 2026-08-28T04:06:06.041388+00:00, sha dfe61c46614c)
- Data as of 2026-08-30T08:39:29.467469+00:00.