YoVDO

Tensor Network for Machine Learning Applications - Lecture 3

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Tensor Networks Courses Machine Learning Courses Neural Networks Courses Quantum Computing Courses Feature Extraction Courses Dimensionality Reduction Courses Condensed Matter Physics Courses Statistical Physics 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 applications of tensor networks in machine learning in this comprehensive lecture by Edwin Miles Stoudenmire from the Flatiron Institute. Delve into advanced concepts and techniques as part of the third installment in a series on tensor networks for machine learning. Gain insights into the latest developments and potential future directions in this rapidly evolving field. Enhance your understanding of how tensor networks can be leveraged to improve machine learning algorithms and solve complex problems in various domains.

Syllabus

Tensor network for machine learning applications 3


Taught by

ICTP Condensed Matter and Statistical Physics

Related Courses

Classical Simulation of Quantum Many-body Systems with Tensor Networks
Simons Institute via YouTube
Quantum Computing and the Difficulty of Simulating Quantum Many-Body Systems - Ignacio Cirac
Institute for Advanced Study via YouTube
Ergodicity Breaking in Quantum Many-Body Systems
International Centre for Theoretical Sciences via YouTube
Provably Efficient Machine Learning for Quantum Many-Body Problems
Simons Institute via YouTube
On the Complexity of Quantum Many Body Systems
International Mathematical Union via YouTube