PReMI 2015 - Warsaw University of Technology, Warsaw, Poland, June 30 - July 3, 2015

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A tutorial on scalable machine learning

Santanu Chaudhury, Dept. of Electrical Engg., I.I.T, Delhi

To-day we encounter Big data in various areas. Machine learning is an important tool for big data analytics. High volume, high velocity, variety and veracity of data bring challenges to current machine learning techniques. In the tutorial we shall discuss
(1) how to scale up existing machine learning techniques for modeling and analyzing big data from various domains (data reduction techniques, large scale matrix approximation, learning on big multimodal data, learning in large graphs);
(2) how to design new machine learning algorithms for various parallel/distributed machine learning platforms (such as Hadoop and Spark)


Bio-sketch
Santanu Chaudhury did his B.Tech (1984) in Electronics and Electrical Communication Engg and Ph.D (1989) in Computer Science and Engg. from I.I.T, Kharagpur, India. Currently, he is Dhananjoy Chair professor in the department of Electrical Engg. at I.I.T, Delhi. He was awarded INSA medal for young scientists in 1993. He received prestigious CDAC-ACSS award in 2012 for his scientific contributions. He is a fellow of Indian National Academy of Engineers, National Academy of Sciences, India and International Association of Pattern Recognition.
His research interests are in the areas of Computer Vision, Artificial Intelligence and Multimedia Systems. He has published more than 200 papers in international journals and conference proceedings.