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Meet the winners of Power Laws: Anomaly Detection

Meet the winners who were best able to use machine learning to detect anomalies in building energy consumption!

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Meet the winners of the Power Laws: Forecasting Energy Consumption

Meet the winners who were best able to use machine learning to predict building energy consumption!

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Meet the winners of Power Laws: Optimizing Demand-side Strategies

Meet the winners who were best able to optimize energy use with a photovoltaic array and battery system!

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Meet the winners of the Pover-T Tests challenge

See how DrivenData's top modelers managed to predict poverty based on individual and household-level survey data.

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Five Finalists Announced to Uncover Emerging Biothreats

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

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Concept To Clinic tools highlight: Travis CI

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

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Concept To Clinic tools highlight: FOSSA

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.

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A brief introduction to machine learning and 3 ways to make it useful for social impact organizations

When social sector organizations think about data, the conversation often begins and ends with measuring impact. Here are some ways that social impact organizations can move beyond thinking about measuring impact and start using machine learning to transform how they operate.

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Meet the winners of the N+1 Fish, N+2 Fish challenge

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

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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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