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About Physics On Machine Learning
This document provides an overview of recent research at the intersection of machine learning and physical sciences. It begins with introductions to concepts in machine learning like supervised learning, unsupervised learning, and reinforcement learning. It then discusses how statistical physics concepts help understand machine learning methods. The document reviews applications of machine learning in particle physics, cosmology, quantum many-body physics, and materials science. It highlights both successes of machine learning in these domains as well as ongoing challenges and opportunities for future work.
Detailed Information
| Author: | ['urhen'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 44 |
| Language: | English |
| Format: | |
| Price: | FREE |
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