Topic:
Machine Learning Basics - I
Abstract:
Expectation Maximization (EM) is an iterative algorithm often useful in many situations. This talk would review EM algorithm and its applications to mixture distributions, mostly in the context of Gaussian mixture models. Also in this talk, the concept of SVMs (Support Vector Machines) would be discussed. SVMs are an extremely powerful classification tool and this tutorial will discuss SVMs and related formulations for linear classification.
Bio of the Speaker:
Chiranjib Bhattacharyya is an Assistant Professor at the Department of
Computer Science and Automation in Indian Institute of Science, Bangalore. He
has taken up courses of the likes of Bioinformatics and Neural Networks. His
research areas include theoretical and applied aspects of
Machine Learning, Convex optimization, Bioinformatics. He is also the convener
of Machine Learning lab.
Homepage:
http://www.csa.iisc.ernet.in/people/faculty/data/chiru.htm
E-mail: chiru@csa.iisc.ernet.in
Additional Material (References, Slides & Lecture
Notes):