YoVDO

Mathematical Problems in Machine Learning - Part 1 of 4

Offered By: IPhT-TV via YouTube

Tags

Machine Learning Courses Data Analysis Courses Algorithms Courses Computational Complexity Courses Statistical Learning Theory Courses High-dimensional Statistics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent