This week Chris and Vidya talk about their own experiences with imposter syndrome, how it has affected them, and how they kick it in the butt.

This week we talk to Maksim Percherskiy, Chief Data Officer for the city of San Diego about his work to make the city better through through data science.

This week we talk with Michael Kagan. He’s a data scientist at CERN, where physicists and engineers are probing the fundamental structure of the universe. It’s Michael’s job to figure out how to use open source machine learning tools like scikit learn and TensorFlow in the pursuit of new particles...

This week we talk with Paco Nathan, who runs Learning at O’Reilly Media – producers of Strata + Hadoop and OSCON conferences, along with some of the most notable books on programming and machine learning. Paco also makes his own cider!

As a chance of pace, we take a moment to talk about the tragedy of Aaron Swartz and the broad powers of the Computer Fraud and Abuse Act.

This week we interview survey methodology expert Dr. Frauke Kreuter about how we can design better surveys and where people often fail. We promise that if you listen to this episode you will leave with tangible, applicable knowledge you didn’t have before. If you want to dig more into survey...

Holy crap a mini episode! Yes, it is true. This week, in addition to our regular episode, we are experimenting with a mini episode. These episodes will be personal stories from the hosts about their time on the front lines of data science. In this first mini episode, Chris talks...

This week the gang is back with another episode! This week Jonathon discusses the academic smackdown between Riza Berkin and Yannick Versley, Vidya discovers that AI can make AI and we are all doomed, and Chris talks about algorithmic accountability and remembers that Frogger exists.

AI to escape parking tickets!

Mona Chalabi, Data Editor at the Guardian US, shares her reporting.

Overhyped ideas and interviews galore!

NASA, dark web, and open source!

Ad tech and ethics!

How to evaluate you models!

It was a pretty great year for data science! As is quickly becoming the best holiday tradition on the internet, we teamed up with Michael Kennedy from the fantastic Talk Python to Me podcast for our annual list of the year’s top data science news and developments. So grab some...

GitHub for data nerds

This week Chris flies to New York City and sits down with three engineers at Microsoft to discuss R, SQL, and why data lakes is a silly term.

GitHub for data nerds

Is polling pointless?

Why were the polls so wrong?

Every now and again we get to do some of our research, and this week Jonathon explains some of the theory behind his recent look into the alt-right: a sprawling coalition of reactionary conservatives who have lobbied to make the United States more “traditional,” more “populist” and more white. More...

There’s a new Harry Potter book? Are you Sirius? I would’ve Neville thought this was possible! Turns out it was written by a neural network, so JK Rowling probably isn’t out of a job. Plus Chris explains how high school statistics beat the Nazis in World War II, and Vidya...

Core contributor to IPython Notebook and Project Jupyter

Hey everyone! This is for everyone who subscribes to the podcast but not the blog. It’s all the details about our totally awesome upcoming meetup in London on July 11. Come say hi if you’re in London!

Author of The Functional Art and expert in data journalism