This started as an interview cheatsheet, but it is slowly becoming a bible for ML engineers. You can find some basics of probability theory, statistics, Python, Machine Learning, Deep Learning and Reinforcement Learning.
It is crucial to open this with either Typora or Visual Studio Code: normal markdown editors won't parse the LaTeX formulas.
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the GPL License. See LICENSE for more information.
I'm currently looking for AI positions :) Add me on LinkedIn! Simone Montali