Introduction to Big Data Analytics

Catalog description

Over the last ten years we have witnessed the successful application of many machine learning techniques on big data platforms based on the parallel computing paradigm and associated technologies such as distributed file systems, no-SQL databases, and stream computing engines. National security, machine translation, natural language understanding, online advertising, and personalized medicine, are some examples of such machine-learning, web-intelligence applications in the public eye. This course explores these applications and the machine-learning/statistical techniques that make them possible. Instructor approval required for registration.