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Shuffling-based Stochastic Optimization Methods: Bridging the Theory-practice Gap

Offered By: Max Planck Science via YouTube

Tags

Stochastic Optimization Courses Machine Learning Courses Gradient Descent Courses Algorithm Design Courses

Course Description

Overview

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Explore shuffling-based stochastic optimization methods in this hour-long lecture that aims to bridge the gap between theory and practice. Delve into the intricacies of these methods and gain insights into their applications in real-world scenarios. Discover how these techniques can be effectively implemented to solve complex optimization problems across various fields.

Syllabus

Bridging the Theory-practice Gap


Taught by

Max Planck Science

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