September 2018
Intermediate to advanced
328 pages
10h 46m
English
Content preview from Hands-On Neural Network Programming with C#
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Decision Trees and Random Forests
Decision trees and random forests are powerful techniques that you can use to add power to your applications. Let's walk through some concepts and some code and hopefully have you up and running in no time.
In this chapter, we are going to learn about decision trees and random forests. We will:
- Work through a lot of code samples to show you how you can add this powerful functionality to your applications
- Discuss decision trees
- Discuss random forests
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.