Let's start by telling the truth: machines don't learn.
Machine learning is a term that refers to the science and engineering of building machines capable of doing various useful things without being explicitly programmed to do so.
This online video sessions aims to guide the beginner looking to know and learn more about machine learning as well as for the experience practitioner seeking to expand their knowledge base.
Some of the knowledge, information and concepts are provided by Mr Gareth James, Professor of Data Sciences and Operations at University of Southern California, co-author with Written, Hastie and Tibshirani, of the best selling book - An Introduction to Statistical Learning, with Applications in R.
Compiled, written, authored and published by Mr Andriy Burkov
Copyrights Reserved @ 2019
Introduction
Notations and Definitions
Fundamental Algorithms
Anatomy Of A Learning Algorithm
Basic Practice
Neural Networks and Deep Learning
Problems and Solutions
Advanced Practice
Unsupervised Learning
Other Forms Of Learning
Conclusion
