Benchmark posts

Explore the latest in our mission to build a better world using data science and AI.

Content list

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America's Next Top (Statistical) Model 2020 - Benchmark

There's a lot at stake in the 2020 U.S. election. Can you predict the outcome? This benchmark shows you how to try using pollster data from FiveThirtyEight.

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Genetic Engineering Attribution - Benchmark

In this post we'll show you how to train a random forest model to predict the lab-of-origin from DNA sequences!

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Advance Alzheimer’s Research with Stall Catchers - Benchmark

In this guest post by MathWorks, we'll show you how to start working with videos to determine if a blood vessel is stalled or flowing.

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How to build a multimodal deep learning model to detect hateful memes

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

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Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines - Benchmark

In this post, we will show you how to get started with machine learning for predicting flu vaccination.

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Segmenting Buildings for Disaster Resilience - Benchmark

We'll show you how to start detecting building outlines for our latest disaster resilience challenge.

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How to Use Deep Learning to Identify Wildlife

We show you how to get off to a wild start on our animal identification competition using a neural network!

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Mapping Disaster Risk from Aerial Imagery - Benchmark

In this post we'll show you how to start working with aerial imagery to classify the roof material of buildings in St. Lucia, Guatemala, and Colombia.

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Richter's Predictor - Benchmark

In this post we'll show you how to start using data science to predict the extent of earthquake damage!

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Sustainable Industry: Rinse Over Run - Benchmark

We're really excited to launch our latest competition! In addition to an interesting, new prize structure, the subject matter is at the intersection of sustainability and industry. Improvements to these kinds of processes can have upside for both a business and the planet.

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How to Use an LSTM for Timeseries and the Cold-start Problem

We show you how to get a warm start on our cold start competition using a neural network!

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Machine Learning With A Heart - Benchmark

We've all got to start somewhere. In this post we'll show you how to start using data science to predict heart health!

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Benchmark for Pover-T Test - Predicting Poverty

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

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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.

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Random Walk of the Penguins - Benchmark

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

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DengAI: Predicting Disease Spread - Benchmark

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

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America's Next Top (Statistical) Model - Benchmark

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

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There's no place like $HOME

We're launching a new competition for safe aging at home generously sponsored by AARP Foundation

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Cloudy with a chance of models

We're excited to launch a new competition with our partner Dar Si Hmad and sponsor Tableau Foundation.

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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?

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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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