Web: http://arxiv.org/abs/2102.04883

June 23, 2022, 1:11 a.m. | Titus Neupert, Mark H Fischer, Eliska Greplova, Kenny Choo, M. Michael Denner

cs.LG updates on arXiv.org arxiv.org

This is an introductory machine-learning course specifically developed with
STEM students in mind. Our goal is to provide the interested reader with the
basics to employ machine learning in their own projects and to familiarize
themself with the terminology as a foundation for further reading of the
relevant literature. In these lecture notes, we discuss supervised,
unsupervised, and reinforcement learning. The notes start with an exposition of
machine learning methods without neural networks, such as principle component
analysis, t-SNE, clustering, …

arxiv introduction learning machine machine learning physics

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