YoVDO

Mathematical Problems in Machine Learning - Part 2 of 4

Offered By: IPhT-TV via YouTube

Tags

Machine Learning Courses Computational Complexity Courses Overfitting Courses Regularization 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 the second part of a comprehensive lecture series on mathematical problems in machine learning, delivered by Andrea Montanari in 2023. Delve into advanced concepts and theoretical foundations that underpin modern machine learning algorithms. Gain insights into the mathematical challenges and solutions encountered in the field, enhancing your understanding of the intricate relationship between mathematics and machine learning. Expand your knowledge over the course of 54 minutes, as Montanari presents complex ideas in a clear and accessible manner.

Syllabus

Andrea Montanari (2023) - Math. prob. in ML 1/4 Part 2 (Complete)


Taught by

IPhT-TV

Related Courses

Data Analysis and Visualization
Georgia Institute of Technology via Udacity
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AI via Coursera
機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
National Taiwan University via Coursera
Data Science: Machine Learning
Harvard University via edX
Art and Science of Machine Learning auf Deutsch
Google Cloud via Coursera