LEARNING_SOURCES

==== Learning ====

- Hinton TechTalks and Lectures: https://www.cs.toronto.edu/~hinton/

- MIT Deep Learning: https://deeplearning.mit.edu/

- ML Learning Mindmap: https://github.com/YasPHP/machine-learning-mindmap

- Class Central: https://www.classcentral.com/subject/deep-learning

- Responsible AI Resources: https://www.microsoft.com/en-us/ai/responsible-ai-resources?activetab=pivot1%3aprimaryr4


- End-to-End Machine Learning Resource: https://e2eml.school/blog.html#000

- New MIT Deep Learning Course: https://m.youtube.com/watch?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k&v=Cx5Z-OslNWE

(Matrix Methods in Data Analysis, Signal Processing, and Machine Learning)

- LearnAI: https://www.uoft.ai/

- Neural Nine: https://www.neuralnine.com/about/

- Distill (latest ML articles): https://distill.pub/

- Machine Learning Zero to Hero (Google I/O'19): https://www.youtube.com/watch?v=VwVg9jCtqaU