November 2018
Intermediate to advanced
300 pages
7h 42m
English
Content preview from Machine Learning in Java - Second Edition
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Data cleaning
Data cleaning, also known as data cleansing or data scrubbing, is a process consisting of the following steps:
- Identifying inaccurate, incomplete, irrelevant, or corrupted data to remove it from further processing
- Parsing data, extracting information of interest, or validating whether a string of data is in an acceptable format
- Transforming data into a common encoding format, for example, UTF-8 or int32, time scale, or a normalized range
- Transforming data into a common data schema; for instance, if we collect temperature measurements from different types of sensors, we might want them to have the same structure
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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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.