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Ultimate Machine Learning with ML.NET

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Title: Ultimate Machine Learning with ML.NET
Description: Dive into the world of machine learning for data-driven insights and seamless integration in.NET applications with the Ultimate Machine Learning with ML.NET. The book begins with foundations of ML.NET and seamlessly transitions into practical guidance on installing and configuring it using essential tools like Model Builder and the command-line interface. Next, it dives into the heart of machine learning tasks using ML.NET, exploring classification, regression, and clustering with its versatile functionalities. It will delve deep into the process of selecting and fine-tuning algorithms to achieve optimal performance and accuracy. You will gain valuable insights into inspecting and interpreting ML.NET models, ensuring they meet your expectations and deliver reliable results. It will teach you efficient methods for saving, loading, and sharing your models across projects, facilitating seamless collaboration and reuse. The final section of the book covers advanced techniques for optimizing model accuracy and refining performance. You will be able to deploy your ML.NET models using Azure Functions and Web API, empowering you to integrate machine learning solutions seamlessly into real-world applications.
Authors: Kalicharan Mahasivabhattu, Deepti Bandi
Resource Type: eBook.
Subjects: Computers, C# (Computer program language), Language and languages, Electronic books
Categories: COMPUTERS / Languages / .NET
Database: eBook Collection (EBSCOhost)
FullText Links:
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  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3966266
RelevancyScore: 1123
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1122.83581542969
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  Data: Dive into the world of machine learning for data-driven insights and seamless integration in.NET applications with the Ultimate Machine Learning with ML.NET. The book begins with foundations of ML.NET and seamlessly transitions into practical guidance on installing and configuring it using essential tools like Model Builder and the command-line interface. Next, it dives into the heart of machine learning tasks using ML.NET, exploring classification, regression, and clustering with its versatile functionalities. It will delve deep into the process of selecting and fine-tuning algorithms to achieve optimal performance and accuracy. You will gain valuable insights into inspecting and interpreting ML.NET models, ensuring they meet your expectations and deliver reliable results. It will teach you efficient methods for saving, loading, and sharing your models across projects, facilitating seamless collaboration and reuse. The final section of the book covers advanced techniques for optimizing model accuracy and refining performance. You will be able to deploy your ML.NET models using Azure Functions and Web API, empowering you to integrate machine learning solutions seamlessly into real-world applications.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Computers
        Type: general
      – SubjectFull: C# (Computer program language)
        Type: general
      – SubjectFull: Language and languages
        Type: general
      – SubjectFull: Electronic books
        Type: general
    Titles:
      – TitleFull: Ultimate Machine Learning with ML.NET
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Kalicharan Mahasivabhattu
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            NameFull: Deepti Bandi
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            NameFull: Kalicharan Mahasivabhattu
      – PersonEntity:
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            NameFull: Deepti Bandi
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
          Identifiers:
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              Value: 9788197256370
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              Value: 9788197256394
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              Type: main
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