AI-Notes

Why we included this project

AI-Notes is a long-running study series rather than a single tool, and that is its main appeal for anyone learning machine learning and deep learning on their own. The repository collects markdown notes and Jupyter notebooks that start with the math and statistics foundations, then move through classical machine learning, deep learning, natural language processing, and hands-on practice with Scikit-learn, TensorFlow, and PyTorch. Much of the practical material ships as notebooks that run in Colab, so you can read the theory and run the code in the same window, which suits a self-paced curriculum. The author also links companion series on mathematics, NLP, and tooling, making it easy to follow a path from fundamentals to applied projects. For learners and small teams that want a structured, code-first introduction to AI, the mix of theory notes and runnable notebooks makes this a practical companion rather than just a reading list.