ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications Paperback / softback - 2020
by Sudipta Mukherjee
- New
- Paperback
Description
New
NZ$112.68
NZ$21.03
Shipping to USA
Standard delivery: 14 to 21 days
More Shipping Options
Standard delivery: 14 to 21 days
Ships from The Saint Bookstore (Merseyside, United Kingdom)
Details
- Title ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications
- Author Sudipta Mukherjee
- Binding Paperback / softback
- Condition New
- Pages 174
- Volumes 1
- Language ENG
- Publisher Apress
- Date 2020-12-18
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # B9781484265420
- ISBN 9781484265420 / 1484265424
- Weight 0.76 lbs (0.34 kg)
- Dimensions 10 x 7 x 0.41 in (25.40 x 17.78 x 1.04 cm)
About The Saint Bookstore Merseyside, United Kingdom
Biblio member since 2018
The Saint Bookstore specialises in hard to find titles & also offers delivery worldwide for reasonable rates.
From the rear cover
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 out scenarios and code samples thatcan be used in many real-world situations.
What You Will Learn
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 out scenarios and code samples thatcan 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