Mathematical Problems in Machine Learning - Part 1 of 4
Offered By: IPhT-TV via YouTube
Course Description
Overview
Explore fundamental mathematical problems in machine learning through this comprehensive lecture, the first in a four-part series. Delve into key concepts and theoretical foundations as presented by Andrea Montanari, gaining valuable insights into the mathematical underpinnings of machine learning algorithms and techniques. Enhance your understanding of the complex interplay between mathematics and machine learning, equipping yourself with essential knowledge for advanced research and practical applications in the field.
Syllabus
Andrea Montanari (2023) - Math. prob. in ML 1/4 Part 1
Taught by
IPhT-TV
Related Courses
K-Means and K-Medians Under Dimension ReductionSimons Institute via YouTube Can Non-Convex Optimization Be Robust?
Simons Institute via YouTube Robust Estimation and Generative Adversarial Nets
Simons Institute via YouTube Invariance, Causality and Novel Robustness
Simons Institute via YouTube The Importance of Better Models in Stochastic Optimization
Simons Institute via YouTube