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
Reflections From Spark + AI Summit 2018
Here are our favorite talks from Spark + AI Summit 2018
… Continue readingWe’re Reading About AI, Data Visualization, Deep Learning, and More
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!
… Continue readingThis Week We’re Reading the 2018 Stack Overflow Survey
Demet Dagdelen shares her thoughts on the results of the 2018 Stack Overflow Developer Survey.
… Continue readingEngineering Data Science at Automattic
Yanir Seroussi shares a few of the best practices our data scientists use in their work for Automattic.
… Continue readingData Speaker Series: Kevin Ferguson on AlphaGo Zero
Guest speaker Kevin Ferguson taught us about teaching a computer to play the game of Go.
… Continue readingThis Week We’re Reading About Artificial Intelligence and Machine Learning
From machine learning to matrix calculus, we've got some great reads for you in the field of data science.
… Continue reading