Competition posts

Meet the newly announced finalists in the Hidden Signals Challenge! This is a guest post from our friends at Luminary Labs.

Continuous integration is a best practice for software development. We think it's a best practice for data science, too.

Complying with open source licenses is difficult. Today we're talking about a tool that has made it easier for the Concept to Clinic challenge.

See how DrivenData's top modelers managed to predict length, species, and count from videos of fish captured on fishing vessels.

We're launching a new competition to predict poverty. In this post, we'll show you how to get started!

The focus of the Concept to Clinic challenge is to make AI advances useful — not just for data scientists interested in cutting-edge methods, but for clinicians working on the front lines of lung cancer detection and the patients they serve.

We interview Concept to Clinic panelist Dr. Jason Hostetter

We interview Concept to Clinic challenge contributor Serhiy Shekhovtsov (@Serhiy-Shekhovtsov)

Can you help identify biothreats in real time? Submit a concept by 12/4/17!

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.

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.

We had an e-chat to learn more about prolific Concept to Clinic challenge contributor Willi Gierke (@WGierke)

The goal of this data science competition was to reach out to the data science community to build a model that predicts penguin populations.

Just this week we launched a new $100,000 challenge where competition-tested algorithms are just the beginning.

Penguins are so adorable! Here's our first pass at predicting penguin populations in Antarctica.

We're launching a new competition to forecast the spread of dengue.

The 2016 election was a bad showcase for the powers of data science.

The best we can do with the polls.

We're launching a new competition for forecasting the 2016 presidential election.

See how DrivenData's Top Modelers managed to predict activities from sensor data