January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Unsupervised machine learning
Unsupervised learning is a type of machine learning algorithm used for grouping related data objects and finding hidden patterns by inferencing from unlabeled datasets—that is, training sets consisting of input data without labels.
Let's see a real-life example. Suppose you have a large collection of non-pirated and totally legal MP3 files in a crowded and massive folder on your hard drive. Now, what if you could build a predictive model that helps you automatically group together similar songs and organize them into your favorite categories, such as country, rap, and rock?
This is an act of assigning an item to a group so that an MP3 is added to the respective playlist in an unsupervised way. For classification, ...
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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.