July 2018
Intermediate to advanced
334 pages
8h 20m
English
Content preview from Modern Scala Projects
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Brief overview
This topic (details are laid out in the Detailed overview section) will lay out a roadmap, starting with a generalized understanding of recommendations from a non-machine learning perspective. We will show you what recommendations on Amazon look like with supporting illustrations. Not only that, we will highlight the fact that powerful machine learning algorithms power Amazon's recommendation systems to help users make products choices more easily.
The brief overview of this topic is behind us now. Its detailed overview follows.
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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.