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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A Paperback / softback by Dino Esposito, Francesco Esposito

2 in stock


    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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