This repository provides a curated list of technical books for self-taught AI practitioners, focusing on Natural Language Processing (NLP), Deep Learning, Machine Learning, Data Science, Computer Science fundamentals, algorithms, programming, operating systems, and mathematics. It aims to guide individuals in building a comprehensive knowledge base for a career in AI and related fields.

How It Works

The project is a curated bibliography, not a software project. It lists influential and practical books, categorized by subject area. Within each category, books are generally ordered from introductory to advanced. The descriptions highlight the book's focus, approach (e.g., code-heavy vs. math-heavy), and relevance to AI practitioners, often referencing their status as foundational texts in their respective domains.

Quick Start & Requirements

• No installation or code execution required.
• Access to the listed books is necessary, which may involve purchasing or legally acquiring them.
• Links to official book pages or related resources are provided within the descriptions.

Highlighted Details

• Comprehensive coverage across AI subfields and foundational computer science.
• Emphasis on both theoretical depth and practical, code-driven learning.
• Includes "bible" texts for major areas like NLP, Deep Learning, and AI.
• Offers guidance for self-taught individuals transitioning into the field.

Maintenance & Community

• The repository appears to be a personal curation, with no explicit mention of active maintenance, community channels, or a roadmap.
• The author's personal experience and opinions heavily influence the selection and descriptions.

Licensing & Compatibility

• The repository itself contains no code or copyrighted material, only a list of book titles and descriptions.
• The author notes that the acquisition of some books may not be lawful, implying a focus on accessibility over strict legal compliance for the content of the books themselves.

Limitations & Caveats

The primary limitation is that this is a bibliography, not a learning platform; users must acquire the books independently. The author's personal biases and potentially unlawful distribution of some book content are notable caveats.