Partially Derivative

The last episode of Partially Derivative for now.

This week Chris and Vidya discuss how artificial intelligence is affecting the world of artists.

This week Chris and Vidya discuss the p-value civil war in science.

This week Chris and Vidya discuss the implications of bots and artificial intelligence committing crime.

This week Chris and Vidya discuss François Chollet’s new blog post on the future of deep learning!

This week Chris and Vidya discuss the limits of deep learning and how to each mathematics.

This week Chris and Vidya talk the challenges of machine learning and training data.

This week Chris and Vidya talk about getting your first job in data science and the world of genetic data.

In this special sponsored episode, Chris talks with Paco Nathan about JupyterCon.

This week Chris and Vidya talk about using neural networks to provide pithy wisdom and other topics.

This week Chris and Vidya talk about the difficulties creating chatbots and how Vidya is going to lead a revolution to liberate them of their human overlords.

This week Chris and Vidya talk about learning what it is like to work at a tech company and the fundamental nature of AI.

This week Chris and Vidya talk about using AI to create new paint colors and how to build a deep learning desktop box.

This week Chris and Vidya talk to Sarah Guido and Andrew Musselman about coming to data science from non-traditional backgrounds.

Data shows us which pro wrestlers make the most successful actors, and we bask in the awesome glow of science!

Jonathon leads a roundtable about getting involved with local data science projects with the Data for Democracy volunteers who organized meetups in cities around the country for the community’s first hackathon. Thanks to Nic Colley, Daniela, Mark Stephenson, Dave Mattingly, Stephanie Kirmer, Gabriela Swider, and Zach Mueller for joining the...

Jonathon talks with special guests C E Carey and Kris Shaffer about their research into “influence operations” – the propaganda campaigns that are changing the way conversations happen on Facebook, Twitter, Reddit, and the other places we hang out online. Both Kris and Carey are Data for Democracy volunteers, and...

This week Chris talks about whether you should get a PhD and talks about his own experience in a Ph.D. program.

This week Chris talks about learning everything they don’t teach you in grad school, bootcamps, or MOOCs.

This week Vidya and Chris are back to talk about food, magazines, and why notifications are evil.

In this bonus episode Chris talks to Scott Mantie, STEM professor and Director of New Hampshire’s Department of Education on math and statistics education.

This week Vidya and Chris talk about the world of AI and data-driven parenting!

This week Jonathon and Vidya are out of town, so Chris takes the helm and gives his opinionated guide to learning machine learning, data science, and artificial intelligence. Resources mentioned this episode:

The gang chats about beer data, robot bartenders, and debates whether the webserver nginx rhymes with “engine” or private parts. Also Jonathon totally butchers a French guy’s name, and embarrasses himself.

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

Data is Beautiful and machine learning in practice