A high-bias, low-variance introduction to Machine Learning for physicists.
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| Title: | A high-bias, low-variance introduction to Machine Learning for physicists. |
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| Authors: | Mehta P; Department of Physics, Boston University, Boston, MA 02215, USA., Wang CH; Department of Physics, Boston University, Boston, MA 02215, USA., Day AGR; Department of Physics, Boston University, Boston, MA 02215, USA., Richardson C; Department of Physics, Boston University, Boston, MA 02215, USA., Bukov M; Department of Physics, University of California, Berkeley, CA 94720, USA†., Fisher CK; Unlearn.AI, San Francisco, CA 94108., Schwab DJ; Initiative for the Theoretical Sciences, The Graduate Center, City University of New York, 365 Fifth Ave., New York, NY 10016. |
| Source: | Physics reports [Phys Rep] 2019 May 30; Vol. 810, pp. 1-124. Date of Electronic Publication: 2019 Mar 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: North-Holland Pub. Co Country of Publication: Netherlands NLM ID: 9876465 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0370-1573 (Print) Linking ISSN: 03701573 NLM ISO Abbreviation: Phys Rep Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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