MapReduce and the Art of Thinking Parallel : Dr. Shailesh Kumar

Here we describe how to "think" mapreduce not just "code" mapreduce. We solve some interesting problems using mapreduce (e.g. how to compute similarity between all pair of documents on the web, how to do k-means clustering using map-reduce, and how to find cliques in a graph using map-reduce). These solutions are simple, elegant, and open up new ways for people to actually use mapreduce more than just simple number crunching.

About the Speaker:
Dr. Shailesh Kumar is currently the Chief Scientist and Co-founder of Third Leap, an AI based Education startup.He also serves as a visiting faculty of Machine Learning at Indian School of Business Hyderabad and IIIT-Hyderabad. Prior to this he worked for the last 5 years at Google, Inc.. Prior to joining Google, he has worked as a Principal Dev. Manager at Microsoft (Bing) Hyderabad, Sr. Scientist at Yahoo! Labs Bangalore, and a Principal Scientist at Fair Isaac Research in San Diego, California. Dr. Kumar has over fifteen years of experience in applying and innovating machine learning, and artificial intelligence algorithms to a wide variety of domains including information retrieval, web analytics, text mining, computer vision, retail data mining, risk and fraud analytics, and bioinformatics. He has published over 20 conference papers, journal papers, and book chapters and holds about 20 patents in these areas. Dr. Kumar was recognised as one of the Top 10 data scientists in India in 2015 by the Analytic Science Magazine. Dr. Kumar received his PhD in and Masters in Computer Science from the University of Texas at Austin and B.Tech. in Computer Science from IIT-Varanasi.