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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Are your photos interesting?
We have dedicated a lot of effort to extracting, processing, and understanding the data from Flickr. We have also tried to analyze and use unsupervised learning methods to see if there are any patterns in the data. Luckily enough, the previous section helped us understand that there are intrinsic patterns in the data which are being used by Flickr to identify interesting photos of the day.
It would be interesting to see if we can answer the question, Will a given photo end up on the Explore page or not, by just using the metadata attributes we have been using so far in this chapter.
Preparing the data
Before we get started with building a classifier to answer the preceding question, we need some more data. Apart from ...
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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.