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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Iteration
Finally, Jason also notes that:
It is not a one-shot process, it is a cycle. The data scientist may need to run the loop (possibly redo phases 1 through 5) until a result that can be used in practice is established. Also, the data can change, require a new loop, and so on.
This might be where a database development project varies from a machine learning statistical project. While it is not unheard of for a database project to have more than one iteration of the aforementioned project phases (perhaps to address certain issues identified during acceptance testing), most database projects typically end with a database that is actually used in practice by the owners of the data.
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