# ArturoNereu/AI-Study-Group

Resources to learn AI

Repository: https://github.com/ArturoNereu/AI-Study-Group
Canonical: https://ross.abutalabs.com/products/ai-study-group
License Family: other
Topics: agentic-ai, ai, deeplearning, documentation, learning, machine-learning
Last push: 2026-08-22T19:56:10+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 93
- inputs: {"age_days": 1310, "days_push": 11, "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 1251, forks 130 (observed 2026-08-28T04:04:08.069054+00:00)

## What it is
A curated collection of books, courses, videos, papers, tools, and notes for learning artificial intelligence, machine learning, and deep learning. It is a personal learning journal rather than a structured curriculum, with recommendations for learners with limited time.

## Use cases
- find the best books to learn AI and machine learning
- get a shortlist of resources for learning AI with limited time
- learn how large language models work
- find courses on building AI agents
- start a self-study path into deep learning
- discover papers, tools, and datasets for AI learning

## When to choose
- you want curated, opinionated starting points for learning AI
- you prefer books, courses, and videos over scattered searching
- you are a beginner or intermediate learner exploring AI/ML/DL and agentic AI

## When to avoid
- you need a structured curriculum with exercises and assessments
- you are looking for software, code, or a library rather than learning material
- you need formal certification or an accredited course

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: artificial-intelligence, machine-learning, deep-learning, large-language-models, tutorials
- platform: cross-platform
- tags: awesome-list, curated-resources, self-study, books, courses, agentic-ai

## Member repositories
- ArturoNereu/AI-Study-Group (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:08.069054+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 2026-08-30T05:07:36.319095+00:00, confidence not recorded.
  - readme: https://github.com/ArturoNereu/AI-Study-Group (fetched 2026-08-28T04:04:08.069054+00:00, sha 6f3e93e48324)
- Data as of 2026-08-30T08:39:29.467469+00:00.