Sudipta Mukherjee: ML.NET Revealed

Cover: 9781484265420 | ML.NET Revealed | Sudipta Mukherjee | Taschenbuch | xviii | Englisch

Rückseite: 9781484265420 | ML.NET Revealed | Sudipta Mukherjee | Taschenbuch | xviii | Englisch

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Sprache: Englisch

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Beschreibung

Get introduced to [...], 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 [...] 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 [...] library software
Recognize the many opportunities to utilize [...] 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

Get introduced to [...], 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.

What You Will Learn

Who This Book Is For

Developers who want to learn how to use and apply machine learning to enrich their applications

Über den Autor

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 [...] and other developer events, and he lives in Bangalore with his wife and son.

Zusammenfassung

Provides full-spectrum coverage of [...]

Uses developer-to-developer language

Shows you how to leverage [...] to use other popular frameworks such as TensorFlow

Inhaltsverzeichnis

Chapter 1: Meet [...].- Chapter 2: The Pipeline.- Chapter 3: Handling Data.- Chapter 4: Regressions.- Chapter 5: Classifications.- Chapter 6: Clustering.- Chapter 7: Sentiment Analysis.- Chapter 8: Product Recommendation.- Chapter 9: Anomaly Detection.- Chapter 10: Object Detection.

Details

Erscheinungsjahr:	2020
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xviii 174 S. 160 s/w Illustr. 174 p. 160 illus.
ISBN-13:	9781484265420
ISBN-10:	1484265424
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Mukherjee, Sudipta
Auflage:	1st edition
Hersteller:	Apress Apress L.P.
Verantwortliche Person für die EU:	APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße:	254 x 178 x 11 mm
Von/Mit:	Sudipta Mukherjee
Erscheinungsdatum:	18.12.2020
Gewicht:	0,373 kg