September 2016
Beginner to intermediate
264 pages
9h 26m
English
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Preface
As a student of physics and astronomy, I spent a significant proportion of my time dealing with data from measurements and simulations, with the goal of deriving scientific value by analyzing, visualizing, and modeling the data. With a background as a programmer, I quickly learned to use my programming skills as an important aspect of working with data. When I was first introduced to the world of machine learning, it showed not only great potential as a new tool in the data toolbox, but also a beautiful combination of the two fields that interested me the most: data science and programming.
Machine learning became an important part of my research in the physical sciences and led me to the UC Berkeley astronomy department, where statisticians, ...
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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.