This repository serves as a curated bookshelf of freely shareable AI and Machine Learning books, primarily in PDF format. It aims to provide a centralized, easily searchable resource for individuals looking to deepen their understanding of AI/ML concepts, from foundational mathematics to advanced topics like deep learning, reinforcement learning, and large language models. The collection is intended for students, researchers, and practitioners who need quick access to reference material for study, revision, or practical application.

How It Works

The project maintains a collection of PDF documents, each containing valuable information on various AI/ML topics. Users can clone the repository to access these PDFs locally, enabling them to use standard search tools (like ripgrep or Spotlight) to find specific formulas or algorithms. The repository also allows for direct PDF previewing on GitHub. The maintainer encourages contributions of legally distributable AI/ML books via pull requests, ensuring the collection grows with community input.

Quick Start & Requirements

• Install: git clone https://github.com/AniruddhaChattopadhyay/Books.git
• Prerequisites: None beyond Git. PDFs can be opened with any standard PDF reader or previewed on GitHub.
• Setup: Minimal, as it's a collection of static files.

Highlighted Details

• Offers a diverse range of topics including Deep Learning, LLMs, Reinforcement Learning, Mathematics for ML, and AI agent design.
• Includes practical resources like interview preparation guides and workbooks with solutions.
• Emphasizes legally distributable content and adherence to original licenses.

Maintenance & Community

The repository is maintained by Aniruddha Chattopadhyay. Contributions are welcomed via pull requests for legally distributable AI/ML books. The project encourages users to star the repository to stay updated on new additions.

Licensing & Compatibility

Each PDF retains its original license (often CC-BY-NC or similar), with details found within the respective books. The README and folder structure are released under the MIT License. All materials are publicly available under the authors' distribution terms. The maintainer commits to complying with any publisher removal requests.

Limitations & Caveats

The collection's scope is limited to the books currently contributed and accepted. While the README states all materials are legally distributable, users should independently verify the licensing of each PDF before use, especially for commercial applications. The project relies on community contributions for expansion.