June 2016
Beginner to intermediate
398 pages
8h 51m
English
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Summary
Data scientists are confronted with both the problems, rounding errors, and instabilities because of numerical precision problems.
In R, one should be aware that printing a result does not mean that you see the exact number. It's just rounded off on given digits (default = 7), but internally, the numbers are saved with more digits.
In any case, we saw in this chapter that the floating point arithmetic of a computer cannot represent all numbers, and almost every number is rounded to the next even digit. By reading this chapter, you learned the basic knowledge of machine numbers and rounding. This knowledge is mandatory for any data scientist and statistician although these problems play a minor role in the following chapters. We also saw ...
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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.