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.
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
Here are our favorite talks from Spark + AI Summit 2018
Demet Dagdelen shares her thoughts on the results of the 2018 Stack Overflow Developer Survey.
Yanir Seroussi shares a few of the best practices our data scientists use in their work for Automattic.