Blog
Pri-matrix Factorization - Benchmark
How about some deep learning to identify wild animals in camera traps? Here's a benchmark post to get contributors started in our newest challenge.
Read More →How the Concept to Clinic challenge uses Docker for reproducibility and orchestration
Ensuring easy setup of the application stack and efficient segmentation of the various components of the Concept to Clinic challenge is precisely where Docker excels, especially when used with Docker Compose, its tool for declaring and orchestrating multiple services. In this post, we'll dive into some background on Docker and explain how we're using it in the Concept to Clinic challenge.
Read More →Interview with Concept to Clinic contributor Willi Gierke (@WGierke)
We had an e-chat to learn more about prolific Concept to Clinic challenge contributor Willi Gierke (@WGierke)
Read More →Random walk of the penguins
The goal of this data science competition was to reach out to the data science community to build a model that predicts penguin populations.
Read More →Now live: a new kind of data challenge
Just this week we launched a new $100,000 challenge where competition-tested algorithms are just the beginning.
Read More →Random Walk of the Penguins - Benchmark
Penguins are so adorable! Here's our first pass at predicting penguin populations in Antarctica.
Read More →DengAI: Predicting Disease Spread - Benchmark
We're launching a new competition to forecast the spread of dengue.
Read More →Why Elections Are a Terrible Showcase for Data Science
The 2016 election was a bad showcase for the powers of data science.
Read More →America's Next Top (Statistical) Model - Benchmark
We're launching a new competition for forecasting the 2016 presidential election.
Read More →Meet the winners of the safe aging challenge
See how DrivenData's Top Modelers managed to predict activities from sensor data
Read More →SciPy 2016: "Data Science is Software" tutorial
Video footage of Peter and Isaac from their pilgrimage to SciPy 2016
Read More →Visualizing a Future for Fog Nets
Meet the folks who used their data visualization and modeling skills to help Dar Si Hamd!
Read More →There's no place like $HOME
We're launching a new competition for safe aging at home generously sponsored by AARP Foundation
Read More →Building the best naïve bees classifier!
These are the people who were best able to distinguish honeybees from bumblebees and how they did it.
Read More →Cloudy with a chance of models
We're excited to launch a new competition with our partner Dar Si Hmad and sponsor Tableau Foundation.
Read More →Announcing the results of our Keeping It Fresh competition
See who kept it the freshest — meet the winners of the Keeping It Fresh competition.
Read More →Bumble bee or honey bee?
We're excited to launch a new comeptition with our partner Metis. The question at hand is: can you identify a bee as a honey bee or a bumble bee?
Read More →An interview with "Countable Care" winner Gilberto Titericz Jr.
We got a chance to hear from Gilberto Titericz Jr., our Countable Care 1st place finisher. He answered some of our questions about himself, the competition, and data science in general.
Read More →From raw Yelp reviews to a model of hygiene violations (in 3 easy steps)
We were so excited about our new civic innovation competition we couldn't help but get started ourselves! The goal for this competition is to use data from Yelp restaurant reviews to narrow the search for health code violations in Boston. Competitors will have access to historical hygiene violation records from the City of Boston — a leader in open government data — and Yelp's consumer reviews. The challenge: Figure out the words, phrases, ratings, and patterns that predict violations, and help public health inspectors do their job better.
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