BLU 517 - Large Scale Data Processing
Course Objectives
The aim of the course is to teach techniques on (stochastic) convex optimization and sparse representations based on probability theory and linear algebra in order to process large scale data.
Course Description
Course contents are as follows:
• probability theory (2 weeks),
• linear algebra (2 weeks),
• convex optimization (4 weeks),
• sparse representation methods (4 weeks)
• large scale data processing applications (2 weeks).
|
 |
Course Coordinator
Behçet Uğur Töreyin
Behçet Uğur Töreyin
Course Language
Turkish
|
 |
|