March 2016
Beginner to intermediate
340 pages
7h 20m
English
Content preview from R Machine Learning By ExampleBecome 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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Summary
In this chapter, we covered a lot of ground! We started with a discussion about how trends are detected and predicted in the retail vertical. Then we dived into what market basket analysis really means and the core concepts, mathematical formulae underlying the algorithms, and the critical metrics which are used to evaluate the results obtained from the algorithms, notably, support, confidence, and lift. We also discussed the most popular techniques used for analysis, including contingency matrix evaluation, frequent itemset generation, and association rule mining. Next, we talked about how to make data driven decisions using market basket analysis. Finally, we implemented our own algorithms and also used some of the popular libraries ...
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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.