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Introduction to Machine Learning for the Sciences by Titus Neupert, et al.

 
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Ebook Details

Author
Titus Neupert, et al.
Publisher
arXiv.org 2021
Number of pages
80

This is an introductory machine learning course specifically developed with STEM students in mind.

Written by the theoretical Condensed Matter Theory group at the University of Zurich and the Quantum Matter and AI group at the Delft University of Technology. We discuss supervised, unsupervised, and reinforcement learning.

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