This repository serves as a comprehensive, curated table of contents for individuals pursuing research in machine learning, particularly within the domains of medicine and genomics. It offers a structured pathway for learning, from foundational mathematics and programming to advanced deep learning techniques and their applications in scientific research.

How It Works

The project is a meticulously organized collection of links to educational resources, research papers, courses, and key figures in the ML/AI field. It follows a logical learning progression, starting with essential mathematical concepts (linear algebra, calculus, statistics), moving to programming (Python and its data science libraries), and then delving into machine learning theory and practice, including deep learning, reinforcement learning, and generative AI. The structure emphasizes practical application by linking to relevant research and case studies in healthcare and biology.

Quick Start & Requirements

This repository is a collection of links and does not require installation. Accessing the content involves navigating the README and clicking on provided URLs.

Highlighted Details

• Extensive coverage of mathematics prerequisites for ML/AI.
• Detailed learning roadmaps for AI, ML, and Data Science.
• Numerous links to deep learning papers, courses, and foundational concepts.
• Strong focus on applications in healthcare, genomics, and biology, including specific research labs and papers.

Maintenance & Community

The repository is maintained by imteekay. It lists numerous prominent researchers and labs in the AI and scientific research community, suggesting a broad awareness of the field. Links to relevant subreddits and Quora topics are provided for community engagement.

Licensing & Compatibility

The repository is licensed under the MIT License. This permissive license allows for broad use, modification, and distribution, including for commercial purposes, with minimal restrictions.

Limitations & Caveats

As a curated list of links, the repository's content is dependent on the longevity and accessibility of the external resources. The sheer volume of information may be overwhelming for absolute beginners without a clear personal learning strategy.