Mastering .NET Machine Learning

Master the art of machine learning with .NET and gain insight into real-world applications

Mastering .NET Machine Learning

Jamie Dixon

5 customer reviews
Master the art of machine learning with .NET and gain insight into real-world applications
Packt Subscription
$5.00
$9.99/m after first month
eBook
$5.00
RRP $43.99
Save 88%
Print + eBook
$54.99
RRP $54.99
What do I get with a Packt subscription?
  • Exclusive monthly discount - no contract
  • Unlimited access to entire Packt library of 6500+ eBooks and Videos
  • 120 new titles added every month, on new and emerging tech
What do I get with an eBook?
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with Print & eBook?
  • Get a paperback copy of the book delivered to you
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with a Video?
  • Download this Video course in MP4 format
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
$5.00
$5.00
$54.99
$9.99/m after first month
RRP $43.99
RRP $54.99
Subscription
eBook
Print + eBook
Subscribe Now

Frequently bought together


Mastering .NET Machine Learning Book Cover
Mastering .NET Machine Learning
$ 43.99
$ 5.00
Hands-On Machine Learning with C# Book Cover
Hands-On Machine Learning with C#
$ 31.99
$ 5.00
Buy 2 for $10.00
Save $65.98
Add to Cart

Book Details

ISBN 139781785888403
Paperback358 pages

Book Description

.Net is one of the widely used platforms for developing applications. With the meteoric rise of Machine learning, developers are now keen on finding out how can they make their .Net applications smarter. Also, .NET developers are interested into moving into the world of devices and how to apply machine learning techniques to, well, machines.

This book is packed with real-world examples to easily use machine learning techniques in your business applications. You will begin with introduction to F# and prepare yourselves for machine learning using .NET framework. You will be writing a simple linear regression model using an example which predicts sales of a product. Forming a base with the regression model, you will start using machine learning libraries available in .NET framework such as Math.NET, Numl.NET and Accord.NET with the help of a sample application. You will then move on to writing multiple linear regressions and logistic regressions.

You will learn what is open data and the awesomeness of type providers. Next, you are going to address some of the issues that we have been glossing over so far and take a deep dive into obtaining, cleaning, and organizing our data. You will compare the utility of building a KNN and Naive Bayes model to achieve best possible results.

Implementation of Kmeans and PCA using Accord.NET and Numl.NET libraries is covered with the help of an example application. We will then look at many of issues confronting creating real-world machine learning models like overfitting and how to combat them using confusion matrixes, scaling, normalization, and feature selection. You will now enter into the world of Neural Networks and move your line of business application to a hybrid scientific application. After you have covered all the above machine learning models, you will see how to deal with very large datasets using MBrace and how to deploy machine learning models to Internet of Thing (IoT) devices so that the machine can learn and adapt on the fly.

Table of Contents

What You Will Learn

  • Write your own machine learning applications and experiments using the latest .NET framework, including .NET Core 1.0
  • Set up your business application to start using machine learning.
  • Accurately predict the future using regressions.
  • Discover hidden patterns using decision trees.
  • Acquire, prepare, and combine datasets to drive insights.
  • Optimize business throughput using Bayes Classifier.
  • Discover (more) hidden patterns using KNN and Naïve Bayes.
  • Discover (even more) hidden patterns using K-Means and PCA.
  • Use Neural Networks to improve business decision making while using the latest ASP.NET technologies.
  • Explore “Big Data”, distributed computing, and how to deploy machine learning models to IoT devices – making machines self-learning and adapting
  • Along the way, learn about Open Data, Bing maps, and MBrace

Authors

Table of Contents

Book Details

ISBN 139781785888403
Paperback358 pages
Read More
From 5 reviews

Read More Reviews

Recommended for You

Hands-On Machine Learning with C# Book Cover
Hands-On Machine Learning with C#
$ 31.99
$ 5.00
C# Machine Learning Projects Book Cover
C# Machine Learning Projects
$ 35.99
$ 5.00
Machine Learning for Developers Book Cover
Machine Learning for Developers
$ 35.99
$ 5.00
Building Microservices with .NET Core 2.0 - Second Edition Book Cover
Building Microservices with .NET Core 2.0 - Second Edition
$ 35.99
$ 5.00
C# Programming Cookbook Book Cover
C# Programming Cookbook
$ 39.99
$ 5.00
Python Machine Learning - Second Edition Book Cover
Python Machine Learning - Second Edition
$ 31.99
$ 5.00