AI-ML-cheatsheets

AI-ML-cheatsheets This GitHub repository gathers the most popular cheatsheets and quick reference guides for Artificial Intelligence (AI) and Machine learning (ML). Google Drive For an ease of download and browse over the files, a Google Drive version of this GitHub repository is available here. AI-ML-roadmap The global structure of this GitHub repository follows to some extent the following AI and Machine Learning roadmap. The structure of the folder 01- Mathematics 02- C++ 03- Python 04- Computer architecture 05- Data structures 06- Automata theory 06- Complexity theory 07- SQL 08- Data cleaning 09- Data visualization 10- Mathematical logic 11- Introduction to AI 12- Machine learning 13- Deep learning 14- Metrics to evaluate ML algorithms 15- Reinforcement learning 16- Time series 17- Git The content of the folder 01- Mathematics Calculus cheat sheet all reduced Calculus cheat sheet Linear Algebra in 4 pages Probability cheat sheet Probability distribution cheat sheet Statistics cheat sheet Super-cheatsheet-mathematics Summary statistics 02- C++ C++ Reference Card C++ Libraries C++ OOP Reference Card 03- Python Python for Beginners