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Charlie Maalouf

Data Scientist, Dato

Seattle

Prior to joining Dato, Charlie spend 3 years building machine learning systems in the intersection of the energy and weather sectors. Charlie is also trained as an applied econometrician at Northwestern University where his research was focused on time series analysis of different financial and economic markets.

Previously (1):

Machine Learning + Frequent Pattern Mining: Putting Data to Work

Machine Learning + Frequent Pattern Mining: Putting Data to Work

In this presentation the instructor will walk through leveraging pattern mining along with ML techniques to identify frequent patterns that exist in your logs.

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