Foundations of Data Science

CSCI-B609: Foundations of Data Science This class covers a rapidly evolving area. Related classes at other universities: TBA TBA TBA What? This class will give you a mathematical toolkit that can be applied to problems in data anslysis. Target audience are students interested in algorithms, statistics, machine learning, data mining and related areas. Who? Grigory Yaroslavtsev. When? Fall 2016, MW 16:00 – 17:15. Where? BH 310. Need permission? Please, send me an e-mail with relevant coursework you have taken. In most cases permission will be granted. Office hours? By appointment. Prerequisites? There are no formal prerequisites, but you should be familiar with the basics of algorithm design and analysis, discrete mathematics, probability and have a strong mathematical background. Textbook? This class is primarily based on the emponimous textbook by Blum,…


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