The aim of this second-level graduate course is to provide a broad overview and develop the tools and methods necessary for the large-scale problems that naturally arise in many data science-related application areas.
The following are the suggested books for the course:
A. Blum, J. Hopcroft, and R. Kannan (2020) Foundations of Data Sciences, Cambridge University Press
M. W. Mahoney (2010) Randomized Algorithms for Matrix and Data, Foundations and Trends in Machine Learning, pages 123-224
About the Instructors
Arun Rajkumar
Assistant Professor,
Department of Data Science and AI,
IIT Madras
I am currently an Assistant Professor at the Data Science and AI department of IIT Madras. Prior to joining IIT Madras, I was a research scientist at the Xerox Research Center (now Conduent Labs), Bangalore for three years. I earned my Ph.D from the Indian Institute of Science where I worked on 'Ranking from Pairwise Comparisons'. My research interests are in the areas of Machine learning, statistical learning theory with applications to education and healthcare.
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