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This guide is intended for anyone having zero or a small background in programming, maths, and machine learning. There is no specific order to follow, but a classic path would be from top to bottom. If you don't like reading books, skip it, if you don't want to follow an online course, you can skip it as well. There is not a single way to become a AI / machine learning expert and with motivation, you can absolutely achieve it.
All resources listed here are free, use them if you feel like following a course. Thank you, and have fun learning! Remember.
Don't be afraid to repeat videos or learn from multiple sources. Repetition is the key of success to learning!
This is an example of how you may get started and get more close to became AI Expert
Soon Will add Roadmap to became a AI Expert
See the open issues for a full list of proposed features and known issues.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- 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 MIT License. See LICENSE.txt
for more information.
Email - contact.syedjawad - @gmail.com
Project Link: awesome-ai
Credits: Maksof Jawad
Last Edited on: 3/11/2022