Module 1- Introduction to Machine Learning

Relevant playlists: Machine Learning Codes and Concepts: https://youtube.com/playlist?list=PL2GWo47BFyUNeLIH127rVovSqKFm1rk07&si=lCPyHenEQYBCJzQ_ Deep Learning Concepts, simply explained: https://www.youtube.com/playlist?list=PL2GWo47BFyUO6Fiy2mJCxR8sUrBEfT6BM Instructor: Pedram Jahangiry All of the slides and notebooks used in this series are available on my GitHub page, so you can follow along and experiment with the code on your own. https://github.com/PJalgotrader Lecture Outline: 0:00 Roadmap 0:58 Part 1- Big picture 9:20 Machine learning vs statistical learning 24:57 Part 2- What is machine learning (definition) 27:56 AI vs ML vs DL 31:00 Part 3- Different types of ML algorithms (Supervised, Unsupervised, RL)