Description

Book Synopsis

Dino Esposito is CTO and co-founder of Crionet, a company that provides innovative software and technology to professional sports organizations. A 16-time Microsoft MVP, he has authored 20+ books, including Introducing Machine Learning; and the Microsoft Press best-seller Microsoft .NET: Architecting Applications for the Enterprise.

Francesco Esposito holds a degree in Mathematics, is the co-author of Introducing Machine Learning, and lives suspended between the depth of advanced mathematics and the intrigue of data science. He currently serves as the Head of Engineering and Data at Crionet. As an entrepreneur he founded Youbiquitous, a data analysis and software factory, and KBMS Data Force, a startup in Digital Therapy and intelligent healthcare.



Table of Contents

CHAPTER 1 Artificially Intelligent Software

CHAPTER 2 An Architectural Perspective of ML.NET

CHAPTER 3 The Foundation of ML.NET

CHAPTER 4 Prediction Tasks

CHAPTER 5 Classification Tasks

CHAPTER 6 Clustering Tasks

CHAPTER 7 Anomaly Detection Tasks

CHAPTER 8 Forecasting Tasks

CHAPTER 9 Recommendation Tasks

CHAPTER 10 Image Classification Tasks

CHAPTER 11 Overview of Neural Networks

CHAPTER 12 A Neural Network to Recognize Passports

APPENDIX A Model Explainability

Programming ML.NET

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    £36.09

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    RRP £37.99 – you save £1.90 (5%)

    Order before 4pm today for delivery by Sat 27 Jun 2026.

    A Paperback / softback by Dino Esposito, Francesco Esposito

    1 in stock

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      View other formats and editions of Programming ML.NET by Dino Esposito

      Publisher: Pearson Education (US)
      Publication Date: 23/05/2022
      ISBN13: 9780137383658, 978-0137383658
      ISBN10: 0137383657

      Description

      Book Synopsis

      Dino Esposito is CTO and co-founder of Crionet, a company that provides innovative software and technology to professional sports organizations. A 16-time Microsoft MVP, he has authored 20+ books, including Introducing Machine Learning; and the Microsoft Press best-seller Microsoft .NET: Architecting Applications for the Enterprise.

      Francesco Esposito holds a degree in Mathematics, is the co-author of Introducing Machine Learning, and lives suspended between the depth of advanced mathematics and the intrigue of data science. He currently serves as the Head of Engineering and Data at Crionet. As an entrepreneur he founded Youbiquitous, a data analysis and software factory, and KBMS Data Force, a startup in Digital Therapy and intelligent healthcare.



      Table of Contents

      CHAPTER 1 Artificially Intelligent Software

      CHAPTER 2 An Architectural Perspective of ML.NET

      CHAPTER 3 The Foundation of ML.NET

      CHAPTER 4 Prediction Tasks

      CHAPTER 5 Classification Tasks

      CHAPTER 6 Clustering Tasks

      CHAPTER 7 Anomaly Detection Tasks

      CHAPTER 8 Forecasting Tasks

      CHAPTER 9 Recommendation Tasks

      CHAPTER 10 Image Classification Tasks

      CHAPTER 11 Overview of Neural Networks

      CHAPTER 12 A Neural Network to Recognize Passports

      APPENDIX A Model Explainability

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