Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Mastering .NET Machine Learning

Buy

About This Book

  • Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0
  • Set up your business application to start using machine learning techniques
  • Familiarize the user with some of the more common .NET libraries for machine learning
  • Implement several common machine learning techniques
  • Evaluate, optimize and adjust machine learning models

Who This Book Is For

This book is targeted at .NET developers who want to build complex machine learning systems. Some basic understanding of data science is required.

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 of your data using simple, multiple, and logistic 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 k-NN and Naive 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

In Detail

.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 to make their .NET applications smarter using machine learning.

Mastering .NET Machine Learning is packed with real-world examples to explain how to easily use machine learning techniques in your business applications. You will begin with an introduction to F# and prepare yourselves for machine learning using the .NET Framework. You will then learn how to write a simple linear regression model and, forming a base with the regression model, you will start using machine learning libraries available in .NET Framework such as Math.NET, numl, and Accord.NET with examples. Next, you are going to take a deep dive into obtaining, cleaning, and organizing your data. You will learn the implementation of k-means and PCA using Accord.NET and numl libraries. You will be using Neural Networks, AzureML, and Accord.NET to transform your application into a hybrid scientific application. You will also see how to deal with very large datasets using MBrace and deploy machine learning models to IoT devices so that the machine can learn and adapt on the fly.

(HTML tags aren't allowed.)

Pro Hadoop
Pro Hadoop
You’ve heard the hype about Hadoop: it runs petabyte–scale data mining tasks insanely fast, it runs gigantic tasks on clouds for absurdly cheap, it’s been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it’s completely open source (thus free). But what exactly is it, and more...
Solar System Moons: Discovery and Mythology
Solar System Moons: Discovery and Mythology

Starting from Mars outward this concise handbook provides thorough information on the satellites of the planets in the solar system. Each chapter begins with a section on the discovery and the naming of the planet’s satellites or rings. This is followed by a section presenting the historic sources of those names. The book contains tables...

Frommer's Maui 2010 (Frommer's Complete)
Frommer's Maui 2010 (Frommer's Complete)

America's #1 bestselling travel series

Written by more than 175 outspoken travelers around the globe, Frommer’s Complete Guides help travelers experience places the way locals do.

• More annually updated guides than any other series

• 16-page color section and foldout map in all annual guides

...

Google Analytics
Google Analytics

Do you know what people do when they visit your website or web app? Or how much the site contributes to your bottom line? Google Analytics keeps track and makes it easy for you to learn precisely what's happening. This hands-on guide shows you how to get the most out of this free and powerful tool -- whether you're new to...

Aspects of Soft Computing, Intelligent Robotics and Control (Studies in Computational Intelligence)
Aspects of Soft Computing, Intelligent Robotics and Control (Studies in Computational Intelligence)

Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow...

Arduino Wearables
Arduino Wearables
At a young age, I lived very close to my grandmothers and I used to visit them often. Both of my grandmothers were very skilled in textile handcrafts and, along with my mother, were firm believers that sewing is one of those basic skills that everyone should know. One grandmother was amazing at crocheting and needlepoint, and the...
©2021 LearnIT (support@pdfchm.net) - Privacy Policy