Basic Information
Otimization Is a Central Tool to Formalizing and Solving Machine Learning and Big Data Problems. We Will Study Recent Advanced Tools in Optimization and And Demonstrate How to Employ These Tools in Order to Solve Problems In Statistical Learning, Optimization and Game Theory. Learning Outcomes# at The End of The Courses The Students Will Know# 1. The Students Will Know Advanced Techniques and Algorithms In Optimization, and Will Be Able to Read and Understand Related Papers. 2. The Students Will Be Able to Design and Analyse Optimization Methods Using The Tools That We Will Study._
Faculty: Electrical and Computer Engineering
|Graduate Studies
Pre-required courses
(46195 - Machine Learning and 46197 - Computational Methods in Optimization and 104034 - Introduction to Probability H)