Data for Breakfast

We’re Reading About Bandit Algorithms, Binary Classification Problems, and Artificial Intelligence

Don’t forget to share your favorite reads in the data science field!

Investigating Seasonality in a Time Series: A Mystery in Three Parts

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…

Krista Stevens

Reflections From Spark + AI Summit 2018

Here are our favorite talks from Spark + AI Summit 2018

Krista Stevens

We’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!

Demet Dagdelen

This Week We’re Reading the 2018 Stack Overflow Survey

Demet Dagdelen shares her thoughts on the results of the 2018 Stack Overflow Developer Survey.

Yanir Seroussi

Engineering Data Science at Automattic

Yanir Seroussi shares a few of the best practices our data scientists use in their work for Automattic.

Carly Stambaugh

Data Speaker Series: Kevin Ferguson on AlphaGo Zero

Guest speaker Kevin Ferguson taught us about teaching a computer to play the game of Go.

Krista Stevens

This 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.

Demet Dagdelen

Analysis of A Beautiful Storm: Internal Communication at Automattic

What does internal communication look like at Automattic? Demet Dagdelen shares her analysis.

Carly Stambaugh

To a Poem is a Bott the Stranger

Can a bot write its own original poetry? Carly collaborated with some WordPress poets to conduct an experiment in the name of science.

Fresh data insights from Automattic.