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.
Tensor Network for Machine Learning Applications - Lecture 1
ICTP Condensed Matter and Statistical Physics via YouTube
Overview
Syllabus
Tensor network for machine learning applications 1
Taught by
ICTP Condensed Matter and Statistical Physics
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