Boris shares a paper and a podcast all about the science of success.
Demet gives us an overview of pipe, Automattic's machine learning pipeline.
This week, Charles shares a couple of talks he enjoyed on neural networks at Georgia Tech's Theoretical Foundation of Deep Learning conference.
Check out Demet's data-driven analysis of communication at Automattic.
In which Boris Gorelik shares his favorite talks and workshops from EuroSciPy 2018.
Don't forget to share your favorite reads in the data science field!
Recently, I was asked to determine the extent to which seasonality influenced a particular time series. No problem, right? The statsmodels Python package has a seasonal_decompose function that seemed pretty handy; and there's always Google! As it turns out, this was a bit trickier than I expected. In this post I’ll share some of the … Continue reading Investigating Seasonality in a Time Series: A Mystery in Three Parts