We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Simplifying Machine Learning with nuML

11
 Cite
 Share
 Related Material
 Download
 Purchase
No logo availableNorwegian Developers Conference (NDC)
 Juarez, Seth

Formal Metadata

Title
Simplifying Machine Learning with nuML
Alternative Title
Getting Started with nuML, an Open Source .NET Machine Learning Library
Title of Series
Number of Parts
133
Author
License
CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
In this session we will take a magical tour through a Machine Learning OSS framework in .NET. We'll discuss both supervised and unsupervised learning problems through practical code examples in order to equip you with the tools you will need to get started with machine learning in your own projects. We will also discuss ways to extend the framework in order to include the various machine learning algorithms of your own design.