ML.NET Revealed

Simple Tools for Applying Machine Learning to Your Applications

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Apress


Paru le : 2020-12-18



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Description




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 LearnCreate a machine learning model using only the C# languageBuild confidence in your understanding of machine learning algorithms                                   Painlessly implement algorithms                                                                                 Begin using the ML.NET library softwareRecognize the many opportunities to utilize ML.NET to your advantageApply and reuse code samples from the bookUtilize 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

Pages
174 pages
Collection
n.c
Parution
2020-12-18
Marque
Apress
EAN papier
9781484265420
EAN PDF
9781484265437

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
10281 Ko
Prix
66,05 €
EAN EPUB
9781484265437

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
12196 Ko
Prix
66,05 €

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