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Data Science II: Big Data Analytics

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INET 4710

Credits
4
Delivery Method
In person
Cost
Tuition | Fees
Terms

About This Course

Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs.

Sample course topics: Matrix and graph operations, linear regression model, similarity, mining data streams, clustering, dimensionality reduction, and Hadoop big data platform. 

Sample textbook: Mining of Massive Datasets, 2nd Edition by Jure Leskovec, Anand Rajaraman, and Jeffrey David Ullman.