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http://arks.princeton.edu/ark:/88435/pr1cg32| Abstract: | Machine learning is the subfield of computer science concerned with creating machines that can improve from experience and interaction. It relies upon mathematical optimization, statistics, and algorithm design. Rapid empirical success in this field currently outstrips mathematical understanding. This elementary article sketches the basic framework of machine learning and hints at the open mathematical problems in it. |
| Publication Date: | 2018 |
| Citation: | Arora, Sanjeev. "Mathematics of machine learning: An introduction." In Proceedings of the International Congress of Mathematicians (2018): pp. 377-390. doi:10.1142/9789813272880_0017 |
| DOI: | 10.1142/9789813272880_0017 |
| Pages: | 377 - 390 |
| Type of Material: | Conference Article |
| Journal/Proceeding Title: | Proceedings of the International Congress of Mathematicians |
| Version: | Author's manuscript |
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