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BSOS 685

Big-Data Analysis on the BSOS HPC Cluster

2 Credits

Social media are a primary source of information on social interaction and personal interests. High-performance computing (HPC) is employed to search for hidden pattern and unknown correlations using advanced machine-learning algorithms available in python and R packages. The main steps of Natural Language Processing and big-data analysis are being worked out, from examining random samples to analyzing large data sets via in-memory Monte-Carlo applications and neural networks.

Prerequisites & course information

Prerequisite: Students must have completed a least one college-level statistics course. Recommended: A working knowledge of python or R is expected. Restriction: Students must be enrolled in a BSOS graduate program; or permission of instructor. Credit Only Granted for: BSOS385 , BSOS685 , or BSOS688B. Formerly: BSOS688B.

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