November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Collaborative Filtering
Given a database of user ratings for products, where a set of users have rated a set of products, collaborative filtering algorithms can give ratings for products yet to be rated by a particular user. This leverages the neighborhood information of the user to provide such recommendations. The input to collaborative filtering is a matrix, where the rows are users and the columns are items. Cell values are the ratings provided by the user for a product. Ratings of products are ubiquitous in today's internet world. IMDB, Yelp, Amazon, and similar systems today have a rating system deployed to capture user preferences. Preferences are typically captured by a rating system, where the ratings are defined as stars or a points ...
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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.