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
The data science team at Automattic loves to share what they're reading. Be sure to share your great data science reads in the comments!
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.
Guest speaker Kevin Ferguson taught us about teaching a computer to play the game of Go.
From machine learning to matrix calculus, we've got some great reads for you in the field of data science.