May 2017
Beginner to intermediate
394 pages
8h 50m
English
book
Learning Social Media Analytics with R
by Dipanjan Sarkar, Karthik Ganapathy, Raghav Bali, Tushar Sharma
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Recommendation engine – let's open a restaurant
An important reason for including a recommendation engine as one of our use cases is to emphasize how we can link the existing data to frame it as an analytics problem and then to use existing solutions to solve it reliably. We don't expect to have cutting edge accuracy with this recommendation engine but we use it to give you a healthy learning of working on such problems as and when they arrive. Before we dive into building a recommendation engine, a (very) brief introduction is appropriate.
Recommendation engine – the clichés
Recommendation engines (or systems) are one of the most recognized machine learning applications in the industry today. To say that a lot of people equate recommendation engines ...
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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.