ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide resource
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
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: 1996
- days_rel: n/a
- days_push: 902
- n_releases_24m: 0
Adoption not part of the score
7674 stars · 1065 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated learning guide that maps a path from basic programming knowledge to AI research scientist, covering math foundations, machine learning, deep learning, reinforcement learning, and NLP. It organizes books, lectures, and courses with difficulty and relevance ratings, supporting both bottom-up and top-down study approaches.
Use cases
- learn machine learning from scratch
- find the best linear algebra resources for deep learning
- build a study plan to become an AI research scientist
- curated list of deep learning and NLP books and lectures
- learn the math foundations needed for AI
- self-study roadmap for artificial intelligence
When to choose
- you want a structured, opinionated roadmap with rated resources for AI and NLP
- you need math foundations (linear algebra, probability, calculus) before ML
- you are a self-learner or undergraduate wanting free books and lectures
When to avoid
- you need hands-on code, tutorials, or runnable projects rather than resource links
- you want a formal course with certificates or instructor support
- you need up-to-date coverage of the newest LLM-era research
Facets
learning-resource · maturity active
documentation machine-learning deep-learning tutorials mathematics artificial-intelligence cross-platform curated-resources study-guide math-foundations research-scientist books-and-lectures natural-language-processing
1 source
- readme: https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide · fetched 2026-08-28 · df00216c8377
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem