November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Understanding the recommender systems
Recommender systems or recommendation engines are a popular class of machine learning algorithms widely used today by online retail companies. With historical data about users and product interactions, a recommender system can make profitable/useful recommendations about users and their product preferences.
In the last decade, recommender systems have achieved great success with both online retailers and brick and mortar stores. They have allowed retailers to move away from group campaigns, where a group of people receive a single offer. Recommender systems technology has revolutionized marketing campaigns. Today, retailers offer a customized recommendation to each of their customers. Such recommendations ...
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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.