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Non-convex Optimization for Machine Learning

Om Non-convex Optimization for Machine Learning

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.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781680833683
  • Format:
  • Häftad
  • Sidor:
  • 217
  • Utgiven:
  • 4. december 2017
  • Mått:
  • 233x154x17 mm.
  • Vikt:
  • 342 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 11. december 2024

Beskrivning av Non-convex Optimization for Machine Learning

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.

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