March 2017
Intermediate to advanced
328 pages
11h 21m
English
Content preview from Think Like a Data ScientistBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 1. Philosophies of data science
This chapter covers
- The role of a data scientist and how it’s different from that of a software developer
- The greatest asset of a data scientist, awareness, particularly in the presence of significant uncertainties
- Prerequisites for reading this book: basic knowledge of software development and statistics
- Setting priorities for a project while keeping the big picture in mind
- Best practices: tips that can make life easier during a project
In the following pages, I introduce data science as a set of processes and concepts that act as a guide for making progress and decisions within a data-centric project. This contrasts with the view of data science as a set of statistical and software tools and the knowledge ...
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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.