This repo is a collection of resources to guide beginners in learning Machine Learning
NOTE: this project is a baby project. I would highly appreaciate it if you may contribute to it by posting a pull request with the specific resources you want to add.
This only includes technical resources; please do not forget to search for other meta-resources such as the ethics of Machine Learning, it's applications in real life, etc...
- 3Brown1Blue, especially:
- Essence of Calculus https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
- Essence of Linear Algebra https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
- 3Brown1Blue -- Neural Networks https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
- Computerphile -- Hill Climbing Algorithm & Artificial Intelligence https://www.youtube.com/watch?v=oSdPmxRCWws&index=1&list=PL8zB0OvKDj4qYWeVUSZXJgr2xLah-7cJG (Also take a look at the whole AI playlist, it's really worth it)
- Brandon Rohrer -- How Convolutional Neural Networks Work https://www.youtube.com/watch?v=FmpDIaiMIeA
- Coursera (much of their courses concern AI. Try to start with the basics)