Convex Optimization I - Fundamentals and Applications
Offered By: Paul G. Allen School via YouTube
Course Description
Overview
Explore the fundamentals of convex optimization in this comprehensive lecture delivered by Sebastien Bubeck from Microsoft Research. Delve into the core concepts and techniques of this crucial field in mathematical optimization, gaining insights from a leading expert in the industry. Learn how convex optimization principles are applied in various domains, including machine learning, signal processing, and control theory. Discover the theoretical foundations and practical applications that make convex optimization a powerful tool in solving complex problems efficiently. Enhance your understanding of optimization algorithms, constraint handling, and solution methods that are essential for tackling real-world challenges in data science and engineering.
Syllabus
Convex Optimization I Sebastien Bubeck Microsoft Research
Taught by
Paul G. Allen School
Related Courses
Convex OptimizationStanford University via edX FA19: Deterministic Optimization
Georgia Institute of Technology via edX Applied Optimization For Wireless, Machine Learning, Big Data
Indian Institute of Technology Kanpur via Swayam Statistical Machine Learning
Eberhard Karls University of Tübingen via YouTube Convex Optimization
NIOS via YouTube