☝️ Özgür Martin, one of the 12 laureates of the CIMPA-ICTP Research in Pairs programme, is a professor at Mimar Mimar Sinan Fine Arts University, Turkey.
This course was filmed at CIMPA (Nice, France)
"Introduction to Stochastic Optimization for Large-Scale Machine Learning" (1/4)
Abstract: Optimization has always played an important role in data science but with the recent and rapid development of machine learning methods with very successful real-world applications, the need for fast optimization methods for training high-dimensional models over large datasets has grown immensely. Although, stochastic optimization methods are widely used in these problems, their mathematical analysis is far from being complete. In this course, we will introduce state-of-the-art first and second-order stochastic gradient methods for solving large-scale optimization problems and review their theoretical background on convergence rate analysis. We will also see some ap- plications to observe these powerful methods at work. The course is aimed at graduate students with some background in probability and calculus. No knowledge of machine learning methods is required.
Click on this link to access the playlist containing the other parts of this online course.