Enabling Large Scale Data Analytics: From Theoretical Foundations to Practice

Important Dates

Last date for registration 27 May 2016
Course Dates 13-17 June 2016

Lecture Schedule (Tentative)

Date Main Topic Subtopics
June 13, 2016Small-Space Algorithms, Estimating Statistical Properties Introduction to Streaming Algorithms, Finding Similar Items, Locality Sensitive Hashing, MinHash etc.
June 14, 2016 Distance Estimation, Clustering & Ranking K-Means, K-Median, K-Means++, Ranking, Page Rank, Rank Aggregation, Ranking under Uncertainty etc.
June 15, 2016 Algorithms over Massive Networks Introduction to Map-Reduce Framework, Graph Algorithms on Map-Reduce, Graph Sketching, Social Network Analysis etc.
June 16, 2016 Learning Algorithms The Perceptron Algorithm and Stochastic Gradient Descent, Strong and Weak Learning, Active learning, Deep Learning etc.
June 17, 2016 Examination -