I'm a Masters Computer Science student in starting research in AI and Machine Learning. In ML, I am particularly interested in Reinforcement Learning (RL). I'm hoping to share a little more with you all than just the normal ML paper reviews and code that I go over. Let me know what you want to see from this series, whether it be research ideas, code, or something else.
Chapters:
0:00 The ML journey
2:48 My notebook
11:11 Code
16:43 Feedback