Data Wrangling for Machine Learning

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By far the most work involved in any Machine Learning (ML) project is the data
wrangling. We can do this in PHP but it's far different from building a web
site! We normally use PHP as a *programming language* for *creating stuff*.
Far less often do we use PHP as a *scripting language* for *automating tasks.*
Yet PHP works well for automating tasks because of the rapid development/
turn-around time. We'll learn patterns for multi-step processing. We'll munge
databases, import and export spreadsheet data. Although we use CakePHP, the
principles are universal to any modern PHP framework.

Additional information for conference organizers:

This material appeared in December 2017 PHP Architect as 
"Learning Machine Learning, Part Three: Data Wrangling".

I suspect you may attract a wider audience if you do more to frame this talk in the context of machine learning.

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