July 2016
Beginner to intermediate
408 pages
10h 58m
English
book
Perspectives on Data Science for Software Engineering
by Tim Menzies, Laurie Williams, Thomas Zimmermann
Content preview from Perspectives on Data Science for Software Engineering
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Which machine learning method do you need?
L.L. Minku University of Leicester, Leicester, United Kingdom
Abstract
Machine learning can be used for several different software data analytics tasks, providing useful insights into software processes and products. For example, it can reveal what software modules are most likely to contain bugs, what amount of effort is likely to be required to develop new software projects, what commits are most likely to induce crashes, how the productivity of a company changes over time, how to improve productivity, etc. The right machine learning algorithm depends on the data and the environment being modeled. Therefore, in order to create good data models, it is important to investigate the data analytics ...
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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.