Description: 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 out scenarios 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 library softwareRecognize the many opportunities to utilize to your advantageApply and reuse code samples from the bookUtilize the bonus algorithm selection quick references available onlineWho This Book Is ForDevelopers who want to learn how to use and apply machine learning to enrich their applications
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EAN: 9781484265420
UPC: 9781484265420
ISBN: 9781484265420
MPN: N/A
Book Title: ML.Net Revealed: Simple Tools for Applying Machine
Item Length: 25.4 cm
Number of Pages: 174 Pages
Language: English
Publication Name: ML.Net Revealed: Simple Tools for Applying Machine Learning to Your Applications
Publisher: Apress
Publication Year: 2020
Subject: Computer Science
Item Height: 254 mm
Item Weight: 375 g
Type: Textbook
Author: Sudipta Mukherjee
Item Width: 178 mm
Format: Paperback