November 2018
Beginner to intermediate
568 pages
15h 59m
English
Content preview from Data Science, 2nd Edition
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Chapter 15
Getting Started with RapidMiner
Abstract
The final chapter is the kick-starter for the main operators that one would need to become familiar with in order to build data science models using RapidMiner. Firstly the basic graphical user interface for the program is introduced, along with the basic data exploration, transformation, and preparation steps for analysis. The process of optimizing model parameters using RapidMiner’s built-in optimization tools is also covered. With this high-level overview, one can go back to any of the earlier chapters to learn about a specific technique and understand how to use RapidMiner to build models using that machine learning algorithm.
Keywords
Data exploration; data preparation; optimization; RapidMiner ...
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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.