October 2013
Intermediate to advanced
172 pages
3h 51m
English
Content preview from Getting Started with Greenplum for Big Data AnalyticsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Weka
Weka stands for Waikato Environment for Knowledge Analysis. It is a Java-based tool for data mining and machine learning built by the University of Waikato. The mining algorithms can directly be applied onto the data sets or can be run from the Java code. It has tools for data preprocessing, regression, clustering, classification, and many other techniques with a capability to visualize.
Visit http://www.cs.waikato.ac.nz/~ml/weka/index.html for more details.
Key features of Weka are listed below:
- 49 data preprocessing tools
- 76 classification/regression algorithms
- Eight clustering algorithms
- Three algorithms for finding association rules
- 15 attribute/subset evaluators and 10 search algorithms for feature selection
The tool primarily has three user ...
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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.