# camoverride/lit

Literature for the self-taught AI practitioner! 📚

Repository: https://github.com/camoverride/lit
Canonical: https://ross.abutalabs.com/products/camoverride-lit
License Family: other
Topics: bookshelf, books, textbook, textbooks, artificial-intelligence, data-science, math
Last push: 2025-05-29T07:05:27+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 24, release rhythm 35, longevity 100
- inputs: {"age_days": 3170, "days_push": 461, "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 1854, forks 551 (observed 2026-08-28T04:05:44.597209+00:00)

## What it is
A curated collection of links to technical textbooks and freely available PDFs aimed at the self-taught AI, machine learning, and data science practitioner. Books are organized by topic such as NLP, deep learning, and statistics, and roughly ordered from introductory to advanced within each section.

## Use cases
- find textbooks for teaching myself artificial intelligence
- best books to learn machine learning from scratch
- reading list for a self-taught data scientist
- recommend NLP textbooks like the NLTK book or Jurafsky
- deep learning book recommendations like the Deep Learning Book
- where should I start if I am completely new to AI

## When to choose
- you want a hand-picked reading list of well-regarded AI/ML textbooks
- you are self-taught and need guidance on which books to read and in what order
- you prefer learning from canonical texts such as Speech and Language Processing or the Deep Learning Book
- you want direct links to free online editions or PDFs of classic books

## When to avoid
- you need working software, code libraries, or tools rather than reading material
- you prefer interactive courses, videos, or structured bootcamps over textbooks
- you require only content with verified legal distribution, since the author notes some books may not have been acquired lawfully

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-science, deep-learning, nlp
- domain: artificial-intelligence, machine-learning, deep-learning, data-science, mathematics, education, tutorials
- platform: cross-platform
- tags: books, textbooks, curated-list, reading-list, self-taught, bookshelf, awesome-list, free-books, natural-language-processing

## Member repositories
- camoverride/lit (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:44.597209+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 2026-08-30T03:16:48.173511+00:00, confidence not recorded.
  - readme: https://github.com/camoverride/lit (fetched 2026-08-28T04:05:44.597209+00:00, sha 715f9fa78947)
- Data as of 2026-08-30T08:39:29.467469+00:00.