This repository serves as a comprehensive, curated collection of resources for individuals learning and working in Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI). It targets students, developers, and researchers by providing organized links to books, tools, cheat sheets, and GitHub repositories, aiming to accelerate learning and skill development in the AI domain.

How It Works

The repository functions as a central hub, aggregating and categorizing a vast array of learning materials. It is structured into sections like "Worthy Books," "Worthy Tools," and "Worthy Repositories," each containing numerous entries with descriptions and links. This approach provides a structured learning path and quick access to essential information, from foundational algorithms to cutting-edge AI applications and career advice.

Quick Start & Requirements

This repository is a collection of links and resources, not a runnable software package. No installation is required. Accessing the content involves navigating the GitHub repository and following the provided links to external books, articles, and other repositories.

Highlighted Details

• Extensive lists of recommended books covering ML, DL, AI, mathematics, and career development.
• Curated collections of useful tools, cheat sheets, and websites for quick reference.
• Links to numerous GitHub repositories offering code examples, projects, and specialized AI applications.
• Coverage of various AI subfields, including Reinforcement Learning, Natural Language Processing, and AI in chemistry/drug discovery.

Maintenance & Community

The repository is actively maintained and updated with new materials as they are discovered. The author shares updates and insights via Twitter and LinkedIn. Community engagement can be inferred through the breadth of curated content and the inclusion of resources from various educational platforms and challenges like #100DaysOfMLCode.

Licensing & Compatibility

The repository itself is licensed under the MIT License, allowing for broad use and distribution. The linked external resources will have their own respective licenses, which users should verify.

Limitations & Caveats

As a curated list, the repository's primary limitation is its reliance on external resources, which may change or become unavailable. The sheer volume of links requires significant user effort to sift through and evaluate individual resources. The content is a snapshot of the author's learning journey and may not represent a universally agreed-upon curriculum.