Introduction to ML
Contents
Introduction to ML¶
We’ll begin our discussion of ML with these slides:
References¶
Some helpful references on these topics include [1, 2].
- 1
Keith T. Butler, Daniel W. Davies, Hugh Cartwright, Olexandr Isayev, and Aron Walsh. Machine learning for molecular and materials science. Nature, 559(7715):547, 2018. doi:10.1038/s41586-018-0337-2.
- 2
Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. An Introduction to Statistical Learning. Volume 103 of Springer Texts in Statistics. Springer, New York, NY, 1st edition, 2017. ISBN 978-1-4614-7137-0.