April 2020
Intermediate to advanced
488 pages
9h 22m
English
"Data science" is the broader term given to data analysis techniques done in a scientific manner: create a hypothesis, create a test of the hypothesis, and validate the results (most often with a peer review). It involves standard data analysis techniques, such as queries, reports, and data exploration using business intelligence, and goes further by setting up tests using statistical and algorithmic tools for machine learning.
In this chapter, you'll briefly explore machine learning, the components and architectures in SQL Server 2019 you can use to implement these services, and a process you can follow to include them in a solution. You'll learn the new features in SQL Server 2019 ...
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