February 2019
Intermediate to advanced
386 pages
9h 54m
English
Content preview from Hands-On Unsupervised Learning with Python
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Descriptive analysis
The first problem to solve in almost any data science scenario concerns understanding its nature. We need to know how the system works or what a dataset is describing. Without this analysis, our knowledge is too limited to make any assumption or hypothesis. For example, we can observe a chart of the average temperature in a city for several years. If we are unable to describe the time series discovering the correlation, seasonalities, and trends, any other question remains unsolved. In our specific context, if we don't discover the similarities between groups of objects, we cannot try to find out a way to summarize their common features. The data scientist has to employ specific tools for every particular problem, but, ...
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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.