Главная
Study mode:
on
1
Introduction
2
Text classification
3
Hyperplanes
4
Curve fitting
5
Multiple solutions
6
Margin
7
Optimization
8
Image Recognition
9
Imagenet
10
Pixel level data
11
What changed
12
Unsupervised learning
13
Language model
14
Random walk
Description:
Explore the fundamentals of machine learning in this comprehensive seminar presented by Princeton University's Sanjeev Arora at the Institute for Advanced Study. Delve into key concepts such as text classification, hyperplanes, curve fitting, and optimization. Discover the challenges of image recognition, including pixel-level data analysis and the revolutionary changes in the field. Gain insights into unsupervised learning techniques and language models. Learn about the applications of random walk in machine learning algorithms. Perfect for those seeking a thorough introduction to machine learning concepts and their practical applications.

Everything You Wanted to Know About Machine Learning but Didn't Know Whom to Ask - Sanjeev Arora

Institute for Advanced Study
Add to list
0:00 / 0:00