nosuggest/Reflection_Summary resource
算法理论基础知识应知应会 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2499
- days_rel: n/a
- days_push: 1403
- n_releases_24m: 0
Adoption not part of the score
2563 stars · 493 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated collection of study notes and interview preparation material covering machine learning theory, deep learning, mathematics, and algorithm fundamentals, written primarily in Chinese. It is organized as a structured knowledge base of markdown documents with Q&A-style explanations.
Use cases
- prepare for machine learning engineer interviews
- review bias and variance concepts in ML
- study math foundations for machine learning
- learn generative vs discriminative models
- brush up on probability and statistics for interviews
- find deep learning theory interview questions
When to choose
- you are preparing for ML/algorithm interviews and want organized Q&A notes
- you prefer Chinese-language explanations of ML theory
- you want a broad reference spanning math, ML, and deep learning fundamentals
When to avoid
- you need runnable code or production libraries
- you need English-language material
- you need up-to-date coverage of recent deep learning research
Facets
learning-resource · maturity maintenance
documentation developer-tools machine-learning tutorials mathematics cross-platform interview-preparation study-notes machine-learning-theory chinese-language knowledge-base algorithms natural-language-processing
1 source
- readme: https://github.com/nosuggest/Reflection_Summary · fetched 2026-08-28 · 4105caa41762
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| nosuggest/Reflection_Summary | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="nosuggest/Reflection_Summary")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem