January 2019
Intermediate to advanced
378 pages
8h 27m
English
book
Python Machine Learning Blueprints - Second Edition
by Alexander Combs, Saurabh Chhajed, Michael Roman
Content preview from Python Machine Learning Blueprints - Second Edition
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Sourcing shared counts and content
Before we can begin exploring which features make content shareable, we need to get our hands on a fair amount of content, as well as data on how often it's shared. Unfortunately, securing this type of data has gotten more difficult in the last few years. In fact, when the first edition of this book came out in 2016, this data was easily obtainable. But today, there appears to be no free sources of this type of data, though if you are willing to pay, you can still find it.
Fortunately for us, I have a dataset that was collected from a now defunct website, ruzzit.com. This site, when it was active, tracked the most shared content over time, which is exactly what we require for this project:
We'll begin by ...
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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.