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 7. Statistics and modeling: concepts and foundations
This chapter covers
- Statistical modeling as a core concept in data science
- Mathematics as a foundation of statistics
- Other useful statistical methods such as clustering and machine learning
Figure 7.1 shows where we are in the data science process: statistical analysis of data. Statistical methods are often considered as nearly one half, or at least one third, of the skills and knowledge needed for doing good data science. The other large piece is software development and/or application, and the remaining, smaller piece is subject matter or domain expertise. Statistical theory and methods are hugely important to data science, but I’ve said relatively little about them so far in this ...
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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.