Course Weekly Lecture Plan

Week	Topic
1	Fundamentals of machine learning and main concepts
2	Supervised and Unsupervised Learning
3	Linear regression, logistic regression
4	Naïve Bayes, K-nearest neighborhood
5	K-means, Hierarchical clustering
6	Artificial Neural Networks
7	Support Vector Machines
8	Big data examples