Manjesh Hanawal and N. Hemachandra
Industrial Engineering and Operations Research, IIT Bombay
In this tutorial, we will cover various algorithms in machine learning. We will discuss the following topics:
(a) Supervised learning methods: regression, classification, support vector methods, boosting, decision trees, random forest. 
(b) Model selection and assessment: feature engineering, cross-validation methods.
(c) Unsupervised learning: K-means clustering, spectral methods, EM algorithm, time series analysis.