George McIntire, ODSC

George McIntire, ODSC

Contributing Data Science Writer

Bio: I'm a journalist turned data scientist/journalist hybrid. Looking for opportunities in data science and/or journalism. Impossibly curious and passionate about learning new things. Before completing the Metis Data Science Bootcamp, I worked as a freelance journalist in San Francisco for Vice, Salon, SF Weekly, San Francisco Magazine, and more. I've referred to myself as a 'Swiss-Army knife' journalist and have written about a variety of topics ranging from tech to music to politics. Before getting into journalism, I graduated from Occidental College with a Bachelor of Arts in Economics. I chose to do the Metis Data Science Bootcamp to pursue my goal of using data science in journalism, which inspired me to focus my final project on being able to better understand the problem of police-related violence in America. Here is the repo with my code and presentation for my final project: https://github.com/GeorgeMcIntire/metis_final_project.

ODSC East Interviews: Barton Poulson

ODSC East Interviews: Barton Poulson

The following Q&A is part of a series of interviews conducted with speakers at the 2017 ODSC East conference in Boston. The interview has been condensed and edited for clarity. This interview is with Barton Poulson, Founder at Datalab, whose talk was entitled “Data Science for the 99%”. What does Data Science for the 99% mean? Most of […]

Hacking My Pandora Data With Unsupervised Learning

Hacking My Pandora Data With Unsupervised Learning

This is a two-part series about using machine learning to hack my taste in music. In this first piece, I applied unsupervised learning techniques and tools on Pandora data to analyze songs that I like. The second part, which will be published soon, is about using supervised on Spotify data to predict whether or not I will […]

The ODSC March Madness Redemption Bracket

The ODSC March Madness Redemption Bracket

Our Data Science March Madness Bracket to our disappointment floundered over the first weekend. Despite its promising start, in which it correctly predicted 15 of the first 16 games, it only picked the winning team 50% of the time for the rest of the 32 games. Luckily for us ESPN has come to the rescue. They’re holding […]

On Building a “Fake News” Classification Model *update

On Building a “Fake News” Classification Model *updat...

“A lie gets halfway around the world before the truth has a chance to get its pants on.” – Winston Churchill Since the 2016 presidential election, one topic dominating political discourse is the issue of “Fake News”. A number of political pundits claim that the rise of  significantly biased and/or untrue news influenced the election, though a study by researchers […]

How the ODSC March Madness Bracket Fared Over the First Weekend

How the ODSC March Madness Bracket Fared Over the First Weekend

Last week we published an article about our March Madness bracket. In it we described the data science methods we used to predict the outcomes of all 63 games. Here’s how our bracket did after the first two rounds and 48 games. Our bracket did pretty poorly. After a hugely promising start, in which we correctly predicted 15 out of […]

Q&A with Andreas Mueller, ML vs DL

Q&A with Andreas Mueller, ML vs DL

Editors Note: Andreas Mueller is one of the core-contributors to scikit-learn, the open source python-based Machine Learning tool. Over the past few years, the buzz around scikit-learn grew significantly. Enterprises Spotify, Evernote and booking.com each use it. With its constantly improving user interface and computing speed we don’t imagine the appreciation for scikit-learn occluding in the near future and neither does […]

The Official Open Data Science March Madness Bracket

The Official Open Data Science March Madness Bracket

Today is the first day of the most exciting event in sports, that’s right I’m talking about the NCAA Basketball Tourney aka “March Madness.” And we here at Open Data Science have totally caught March Madness fever and have decided to try our hand at making a bracket of predictions. Since we’re in the business of data […]

Perspectives on Deep Learning <p>Interview with Rumman Chowdhury</p>

Perspectives on Deep Learning

Interview with Rumman Chowdhury<...

Q: Why do you think Deep Learning’s profile has skyrocketed in the past year? What do you think it says about the current state of data science? The ease of use of open source tools like Tensorflow have made it easier to step into deep learning. We’ve reached a critical mass of the right combination […]

How Twitter Reacted to the Academy Awards and Its Crazy Ending

How Twitter Reacted to the Academy Awards and Its Crazy Ending

Award show night-Twitter is a special genre of tweeting. It’s a several-hour long affair where Twitter users perform just as much for their followers as the award recipients. It’s a cutthroat competition to beat your fellow tweeters to the funniest jokes and best takes for every moment of the night. To some, the tweets are the event’s main draw and […]