Articles by Corey Chivers

The Treachery of Models

April 20, 2020 | Corey Chivers

In Magritte’s famous 1929 painting The Treachery of Images, a pipe is depicted with the caption “Ceci n’est pas une pipe“, French for “This is not a pipe”. The seemingly dissonant statement under what is a very clearly depicted pipe forces the viewer to confront the distinction between the ...

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Eigenvectors from Eigenvalues – a NumPy implementation

November 17, 2019 | Corey Chivers

I was intrigued by the recent splashy result showing how eigenvectors can be computed from eigenvalues alone. The finding was covered in Quanta magazine and the original paper is pretty easy to understand, even for a non-mathematician. Being a non-mathematician myself, I tend to look for insights and understanding via ...

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Germination Project Fellows come to Penn

August 9, 2019 | Corey Chivers

I was recently fortunate to be invited to speak with an impressive group of high-school students as a part of the Germination Project. They came to Penn to learn about innovation in health care and I spoke with them about how we’re using Data Science to improve patient outcomes.

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Machine Learning for Health #NIPS2018 workshop call for proposals

September 25, 2018 | Corey Chivers

The theme for this year’s workshop will be “Moving beyond supervised learning in healthcare”. This will be a great forum for those who work on computational solutions to the challenges facing clinical medicine. The submission deadline is Friday Oct 26, 2018. Hope to see you there! https://ml4health.github.io/2018/... [Read more...]

NIPS 2017 Summary

December 15, 2017 | Corey Chivers

Some (opinionated) themes and highlights from this year’s NIPS conference: [Read more...]

Visualizing classifier thresholds

November 13, 2017 | Corey Chivers

Lately I’ve been thinking a lot about the connection between prediction models and the decisions that they influence. There is a lot of theory around this, but communicating how the various pieces all fit together with the folks who will use and be impacted by these decisions can be ...

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Weapons of Math Destruction – A Data Scientist’s Guide to Disarmament

September 11, 2016 | Corey Chivers

I’ve had this book on pre-order since spring and it finally arrived on Friday. I subsequently devoured it over the weekend. The book lays out a clear and compelling case for how data-driven algorithms can become — in contrast to their promise of amoral objectivism — efficient means for reproducing and ...

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That’s like so random! Monte Carlo for Data Science

July 14, 2016 | Corey Chivers

Another great turnout at the DataPhilly meetup last night. Was great to see all you random data nerds! Code snippets to generate animated examples here. [Read more...]

Speaking at DataPhilly February 2016

February 5, 2016 | Corey Chivers

The next DataPhilly meetup will feature a medley of machine-learning talks, including an Intro to ML from yours truly. Check out the speakers list and be sure to RSVP. Hope to see you there! Thursday, February 18, 2016 6:00 PM to 9:00 PM Speakers: Corey Chivers Randy Olson Austin Rochford Corey Chivers (Penn Medicine) ... [Read more...]

R style default plot for Pandas DataFrame

March 28, 2015 | Corey Chivers

The default plot method for dataframes in R is to show each numeric variable in a pair-wise scatter plot. I find this to be a really useful first look at dataset, both to see correlations and joint distributions between variables, but also to quickly diagnose potential strangeness like bands of ... [Read more...]

One datavis for you, ten for me

September 14, 2014 | Corey Chivers

Over the years of my graduate studies I made a lot of plots. I mean tonnes. To get an extremely conservative estimate I grep’ed for every instance of “plot(” in all of the many R scripts I wrote over the past five years. The actual number is very likely ... [Read more...]

Plot with ggplot2, interact, collaborate, and share online

July 31, 2014 | Corey Chivers

Editor’s note: This is a guest post by Marianne Corvellec from Plotly. This post is based on an interactive Notebook (click to view) she presented at the R User Conference on July 1st, 2014. Plotly is a platform for making, editing, and sharing graphs. If you are used to making ... [Read more...]

Online R and Plotly Graphs: Canadian and U.S. Maps, Old Faithful with Multiple Axes, & Overlaid Histograms

February 6, 2014 | Corey Chivers

Guest post by Matt Sundquist of plot.ly. Plotly is a social graphing and analytics platform. Plotly’s R library lets you make and share publication-quality graphs online. Your work belongs to you, you control privacy and sharing, and public use is free (like GitHub). We are in beta, and ... [Read more...]

What’s Warren Buffett’s $1 Billion Basketball Bet Worth?

January 22, 2014 | Corey Chivers

A friend of mine just alerted me to a story on NPR describing a prize on offer from Warren Buffett and Quicken Loans. The prize is a billion dollars (1B USD) for correctly predicting all 63 games in the men’s Division I college basketball tournament this March. The facebook page ... [Read more...]

Simudidactic

November 21, 2013 | Corey Chivers

[This article was first published on bayesianbiologist » Rstats, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to [Read more...]

Montreal R User Group – Dr. Ramnath Vaidyanathan on his rCharts package

October 27, 2013 | Corey Chivers

Monday, October 28, 2013. 6:00pm at Notman House 51 Sherbrooke W., Montreal, QC. We are very pleased to welcome back Dr. Ramnath Vaidyanathan for a talk on interactive documents as it relates to his excellent rCharts package. Bringing a laptop to follow along is highly encouraged. I would recommend installing rCharts prior to ... [Read more...]

Follow up to Johnson et al Post

October 20, 2013 | Corey Chivers

Last week I posted a comment on a paper by Neil Johnson and colleagues that I now regret. The comment amounted to a bit of statistical pedantry on my part regarding some of the wording in the paper. It was my wording in this post, and specifically the title, which ... [Read more...]

Calculating AUC the hard way

October 10, 2013 | Corey Chivers

The Area Under the Receiver Operator Curve is a commonly used metric of model performance in machine learning and many other binary classification/prediction problems. The idea is to generate a threshold independent measure of how well a model is able to distinguish between two possible outcomes. Threshold independent here ... [Read more...]

Time-series forecasting: Bike Accidents

August 20, 2013 | Corey Chivers

About a year ago I posted this video visualization of all the reported accidents involving bicycles in Montreal between 2006 and 2010. In the process I also calculated and plotted the accident rate using a monthly moving average. The results followed a pattern that was for the most part to be expected. ... [Read more...]

From Whale Calls to Dark Matter: Competitive Data Science with R and Python

July 12, 2013 | Corey Chivers

Back in June I gave a fun talk at Montreal Python on some of my dabbling in the competitive data science scene. The good people at Savior-fair Linux recorded the talk and have edited it all together into a pretty slick video. If you can spare twenty-minutes or so, have ... [Read more...]

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Articles by Corey Chivers

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