March 2017
Intermediate to advanced
328 pages
11h 21m
English
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About this Book
Data science still carries the aura of a new field. Most of its components—statistics, software development, evidence-based problem solving, and so on—descend directly from well-established, even old, fields, but data science seems to be a fresh assemblage of these pieces into something that is new, or at least feels new in the context of current public discourse.
Like many new fields, data science hasn’t quite found its footing. The lines between it and other related fields—as far as those lines matter—are still blurry. Data science may rely on, but is not equivalent to, database architecture and administration, big data engineering, machine learning, or high-performance computing, to name a few.
The core of data science doesn’t ...
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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.