ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications

Author:   Sudipta Mukherjee
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484265420


Pages:   174
Publication Date:   18 December 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications


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Overview

Get introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible. Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to consume them in many application settings without having to think about the internal details. You will learn about the features that do the necessary “plumbing” that is required in a variety of machine learning problems, freeing up your time to focus on your applications. You will understand that while the infrastructure pieces may at first appear to be disconnected and haphazard, they are not.  Developers who are curious about trying machine learning, yet are shying away from it due to its perceived complexity, will benefit from this book. This introductory guide will help you make sense of it all and inspire you to try outscenarios and code samples that can be used in many real-world situations. What You Will Learn Create a machine learning model using only the C# language Build confidence in your understanding of machine learning algorithms                                    Painlessly implement algorithms                                                                                  Begin using the ML.NET library software Recognize the many opportunities to utilize ML.NET to your advantage Apply and reuse code samples from the book Utilize the bonus algorithm selection quick references available online Who This Book Is For Developers who want to learn how to use and apply machine learning to enrich their applications

Full Product Details

Author:   Sudipta Mukherjee
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.454kg
ISBN:  

9781484265420


ISBN 10:   1484265424
Pages:   174
Publication Date:   18 December 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 01: Meet ML.NET Chapter 02: The PipelineChapter 03: Handling Data Chapter 04: Regressions Chapter 05: Classifications  Chapter 06: ClusteringChapter 07: Sentiment AnalysisChapter 08: Product RecommendationChapter 09: Anomaly DetectionChapter 10: Object Detection

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Author Information

Sudipta Mukherjee is an electronics engineer by education and a computer scientist by profession. He holds a degree in electronics and communication engineering. He is passionate about data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning. He is the author of several technical books. He has presented at @FuConf and other developer events, and he lives in Bangalore with his wife and son.

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