August 2015
Intermediate to advanced
320 pages
7h 25m
English
book
Predictive Analytics with Microsoft Azure Machine Learning, Second Edition
by Roger Barga, Valentine Fontama, Wee Hyong Tok
Content preview from Predictive Analytics with Microsoft Azure Machine Learning, Second Edition
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CHAPTER 12
Recommendation Systems
Are you thinking of building a recommendation engine? Or are you wondering how recommendations at your favorite website work? Look no further. This chapter builds on the introduction in Chapter 5 with a practical guide on recommendation engines. We will show step by step how to build recommendation engines in Azure Machine Learning.
Overview
Retail experiences are being reimagined. Whether you are shopping for a new book on Amazon, shopping for a new food blender on Taobao, looking for a movie to watch from Netflix or Hulu, or listening to songs on Last.fm or Pandora, personalized experiences enable you to make ...
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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.