This repository provides a curated roadmap for individuals aiming to gain comprehensive knowledge in Artificial Intelligence. It targets aspiring AI practitioners, researchers, and students by offering a structured learning path with links to relevant courses, papers, and tutorials.

How It Works

The roadmap is organized into foundational prerequisites (Math, Programming) and core AI domains (Machine Learning, Deep Learning, Computer Vision, NLP, Robotics). It emphasizes hands-on learning by recommending the implementation of ideas from research papers. The content is tagged by type, level, and format, allowing users to tailor their learning experience.

Quick Start & Requirements

• Prerequisites: Strong foundation in Linear Algebra, Differential Calculus, Statistics, Probability, Algorithms, Data Structures, and Python programming. Familiarity with NumPy is also recommended.
• Setup: No specific installation or execution commands are provided as this is a learning resource.
• Resources: Links to edX, Khan Academy, YouTube playlists, Amazon books, university courses (Stanford, Columbia, Oxford), and specific research papers are included.

Highlighted Details

• Comprehensive coverage of AI subfields including Computer Vision (CNNs, object detection, segmentation) and Natural Language Processing (sequence models, Transformers, BERT, GPT).
• Emphasis on practical application through recommended paper implementations.
• Links to key resources like CS231n, CS224n, and the FastAI NLP course.
• Includes a section on low-level deep learning tools (TensorFlow, PyTorch).

Maintenance & Community

The project is community-driven, with an open invitation for suggestions via Pull Requests. It acknowledges that not all content may have been fully vetted by the maintainers.

Licensing & Compatibility

The repository itself does not specify a license. The linked external resources have their own respective licenses and terms of use.

Limitations & Caveats

The maintainers state they are not AI experts and are open to community contributions. Some content may be redundant or recommended by the community without full personal review. The roadmap is extensive and may require significant time investment.