Utvidet returrett til 31. januar 2025

Programming ML.NET

Om Programming ML.NET

With .NET 5's ML.NET and Programming ML.NET, any Microsoft .NET developer can solve serious machine learning problems, increasing their value and competitiveness in some of today's fastest-growing areas of software development. World-renowned Microsoft development expert Dino Esposito covers everything students need to know about ML.NET, the machine learning pipeline, and real-world machine learning solutions development. Modeled on Esposito's popular Programming ASP.NET books Use the same scenario-based approach Microsoft's team used to build the ML.NET framework itself Discover ML.NET's dedicated mini-frameworks (GÇ£ML TasksGÇ¥) for specific classes of problems Draw on Esposito's personal experience to apply these problems in the real world Learn key concepts and realistic examples related to ML.NET neural networks Leverage powerful Python-based machine learning tools in the .NET environment Programming ML.NET will help students add machine learning and artificial intelligence to their tool belt, whether they have a background in these high-demand technologies or not.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780137383658
  • Bindende:
  • Paperback
  • Sider:
  • 256
  • Utgitt:
  • 23. mai 2022
  • Dimensjoner:
  • 231x188x18 mm.
  • Vekt:
  • 472 g.
  • BLACK NOVEMBER
  På lager
Leveringstid: 4-7 virkedager
Forventet levering: 6. desember 2024

Beskrivelse av Programming ML.NET

With .NET 5's ML.NET and Programming ML.NET, any Microsoft .NET developer can solve serious machine learning problems, increasing their value and competitiveness in some of today's fastest-growing areas of software development. World-renowned Microsoft development expert Dino Esposito covers everything students need to know about ML.NET, the machine learning pipeline, and real-world machine learning solutions development. Modeled on Esposito's popular Programming ASP.NET books Use the same scenario-based approach Microsoft's team used to build the ML.NET framework itself Discover ML.NET's dedicated mini-frameworks (GÇ£ML TasksGÇ¥) for specific classes of problems Draw on Esposito's personal experience to apply these problems in the real world Learn key concepts and realistic examples related to ML.NET neural networks Leverage powerful Python-based machine learning tools in the .NET environment Programming ML.NET will help students add machine learning and artificial intelligence to their tool belt, whether they have a background in these high-demand technologies or not.

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