December 2016
Beginner
388 pages
8h 35m
English
Content preview from Principles of Data ScienceBecome 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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Summary
At the beginning of this chapter, I posed a simple question, what's the catch of data science? Well there is one. It isn't all fun, games and modelling. There must be a price to our quest for ever smarter machines and algorithms. As we seek new and innovative ways to discover data trends, a beast lurks in the shadows. I'm not talking about the learning curve of mathematics or programming nor am I referring to the surplus of data. The industrial age left us with an ongoing battle against pollution. The subsequent information age left behind a trail of big data. So, what dangers might the data age bring us?
The data age can lead to something much more sinister—the dehumanization of the individual through mass data.
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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.