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Non-convex Optimization for Machine Learning - Foundations and Trends in Machine Learning
Prateek Jain
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Non-convex Optimization for Machine Learning - Foundations and Trends in Machine Learning
Prateek Jain
Non-convex Optimization for Machine Learning takes an in-depth look at the basics of non-convex optimization with applications to machine learning. It introduces the rich literature in this area, as well as equips the reader with the tools and techniques needed to apply and analyze simple but powerful procedures for non-convex problems.
217 pages
Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
Utgitt | 4. desember 2017 |
ISBN13 | 9781680833683 |
Utgivere | now publishers Inc |
Antall sider | 217 |
Mål | 233 × 154 × 17 mm · 312 g |
Språk | Engelsk |