This lecture will be an introduction to the Fundamentals of Machine Learning and its jargons, understanding big data, tasks, tools, real-world applications and a tour of the following learning algorithms:

Decision Tree Based Learning

Kernel Methods Based Learning

Regression Based Learning

Bayesian Learning

Deep Learning