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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Modeling methods
In the next few sections, we will cover the following important analytical methods in detail:
- Decision trees (classification)
- Association rules (unsupervised learning)
- Linear and logistic regression
- Naive Bayesian classifier (classification)
- K-means clustering (unsupervised learning)
- Text analysis.
Decision trees
Decision trees are an example of classification technique. Here, we classify data in a tree format using data features or attributes. Since decision trees depict the flows and possible outcome for each flow, they are used in identifying the best strategy to reach the goal.
In decision trees, we start with testing an attribute and split the data based on that attribute:
- We continue with the process.
- We can build multiple decision ...
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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.