May 2019
Beginner to intermediate
288 pages
9h 1m
English
book
Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
by Andrew Kelleher, Adam Kelleher
Content preview from Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
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6. Data Visualization
6.1 Introduction
When you need to present data to your team or when you just need a better look at what’s going on in the data, plotting is a great way to see the relationships in your data in ways that aren’t as clear from just looking at summary statistics. Here, we’ll focus mostly on the basic concepts of plotting different types of data to reveal something about the distributions that underlie the data.
We won’t cover the entire area of thought around the qualitative design of data visualizations that make representations of data both clear and appealing to laypeople. We’ll focus instead on the more objective aspects of data visualization: how can you visualize sample from a distribution in a way that reflects where ...
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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.