YoVDO

Tensor Network for Machine Learning Applications - Lecture 1

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Tensor Networks Courses Machine Learning Courses Feature Extraction Courses Dimensionality Reduction Courses Condensed Matter Physics Courses Statistical Physics Courses Quantum Information Theory Courses Quantum Many-body Systems Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intersection of tensor networks and machine learning in this comprehensive lecture by Edwin Miles Stoudenmire from the Flatiron Institute. Delve into the fundamental concepts and applications of tensor networks in the context of machine learning algorithms. Gain insights into how these powerful mathematical tools can be leveraged to enhance various aspects of artificial intelligence and data analysis. Learn about the potential advantages and challenges of incorporating tensor network methods into machine learning frameworks, and discover how this innovative approach can lead to more efficient and scalable solutions for complex computational problems.

Syllabus

Tensor network for machine learning applications 1


Taught by

ICTP Condensed Matter and Statistical Physics

Related Courses

Физика как глобальный проект
National Research Nuclear University MEPhI via Coursera
Advanced statistical physics
École Polytechnique Fédérale de Lausanne via edX
Insights on Gradient-Based Algorithms in High-Dimensional Learning
Simons Institute via YouTube
Statistical Physics and Computation in High Dimension
Simons Institute via YouTube
Computing Partition Functions, Part I
Simons Institute via YouTube