# wangyuGithub01/Machine_Learning_Resources

:fish::fish::fish: 机器学习面试复习资源

Repository: https://github.com/wangyuGithub01/Machine_Learning_Resources
Canonical: https://ross.abutalabs.com/products/machine_learning_resources
License Family: other
Last push: 2023-08-13T21:44:12+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": 2743, "days_push": 1116, "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 1241, forks 180 (observed 2026-08-28T04:04:06.326395+00:00)

## What it is
A curated collection of links and notes for reviewing machine learning concepts for technical interviews, originally written in Chinese. It organizes resources by topic including feature engineering, algorithm fundamentals, evaluation metrics, optimization, and deep learning.

## Use cases
- prepare for a machine learning interview
- review feature engineering concepts before an interview
- find explanations of loss functions and regularization
- study deep learning interview questions like batch normalization and transformers
- brush up on optimization algorithms like gradient descent and Newton's method
- find curated reading material on ML evaluation metrics like AUC and ROC

## When to choose
- you are preparing for ML engineer or data scientist interviews and want a topic-organized link collection
- you want quick references to well-written Chinese-language blog posts and articles on ML fundamentals
- you need a checklist of interview topics from feature engineering to deep learning

## When to avoid
- you want runnable code, tutorials with exercises, or a structured course rather than a link list
- you need beginner-level introductions to basic algorithms like LR and SVM, which the repo explicitly excludes
- you require English-only resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, developer-tools, documentation
- domain: machine-learning, tutorials, awesome-lists, education
- platform: cross-platform
- tags: interview-preparation, curated-links, machine-learning-interview, study-guide, chinese-language

## Member repositories
- wangyuGithub01/Machine_Learning_Resources (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:06.326395+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 2026-08-30T05:08:31.467803+00:00, confidence not recorded.
  - readme: https://github.com/wangyuGithub01/Machine_Learning_Resources (fetched 2026-08-28T04:04:06.326395+00:00, sha 965541148878)
- Data as of 2026-08-30T08:39:29.467469+00:00.