Big Data Now: Current Perspectives from O'Reilly Radar by O'Reilly Radar Team

Author:O'Reilly Radar Team
Language: eng
Format: azw3
Tags: COMPUTERS / Data Processing
ISBN: 9781449315184
Publisher: O'Reilly Media
Published: 2011-08-29T16:00:00+00:00

[1] The NASA article denies this, but also says that in 1984, they decided that the low values (whch went back to the 70s) were “real.” Whether humans or software decided to ignore anomalous data, it appears that data was ignored.

[2] “Information Platforms as Dataspaces,” by Jeff Hammerbacher (in Beautiful Data)

[3] “Information Platforms as Dataspaces,” by Jeff Hammerbacher (in Beautiful Data)

Chapter 2. Data Issues

Why the term “data science” is flawed but useful

Counterpoints to four common data science criticisms.

by Pete Warden

Mention “data science” to a lot of the high-profile people you might think practice it and you’re likely to see rolling eyes and shaking heads. It has taken me a while, but I’ve learned to love the term, despite my doubts. The key reason is that the rest of the world understands roughly what I mean when I use it. After years of stumbling through long-winded explanations about what I do, I can now say “I’m a data scientist” and move on. It is still an incredibly hazy definition, but my former descriptions left people confused as well, so this approach is no worse and at least saves time.

With that in mind, here are the arguments I’ve heard against the term, and why I don’t think they should stop its adoption.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.