November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Noise
Noise or, to the data scientist, statistical noise, is the popular expression for acknowledged amounts of unexplained variation or variability in a sample, population, or data source.
The actual use of the term noise can be traced to early signal processing, where it was coined as a way of referring to undesirable (electromagnetic) energy that was found to be degrading the quality of signals and data.
To the data or database developer, consider the example of running a simple database query to determine the performance of a particular sales region of an organization. If your SQL query returns sales for every sales region, one might consider the additional sales regions—in the context of this exercise—noise that perhaps renders the sales ...
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