DrivenData blog
Explore the latest in our mission to build a better world using data science and AI.
Content list
The missing guide to AzureML, Part 2: Configuring your compute script and compute target
Configure cloud hardware and software to run your machine learning code.
The missing guide to AzureML, Part 1: Setting up your AzureML workspace
Get acquainted with core Azure and AzureML concepts, and set up your first AzureML workspace.
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.
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!
Meet the winners of the Open Cities AI Challenge
Meet the winners with the best building segmentation models and ethical perspectives for disaster risk management
Mining chat messages with plant doctors using language models
Automated recognition of agricultural entities (such as crops, pests, diseases, and chemicals) in WhatsApp and Telegram messages among plant doctors enables new ways to surface emerging trends and improve science-based guidance for smallholder farmers
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.
Meet the winners of the Hakuna Ma-Data Challenge
Meet the winners who built the best wildlife identifiers!
Meet the winners of the Open AI Caribbean Challenge
Meet the winners who were best able to map disaster risk from aerial imagery!
Segmenting Buildings for Disaster Resilience - Benchmark
We'll show you how to start detecting building outlines for our latest disaster resilience challenge.
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!
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.
Richter's Predictor - Benchmark
In this post we'll show you how to start using data science to predict the extent of earthquake damage!
Our Minimum Viable Process for changing and deploying software
Over the years, we have gradually settled on a process for changing and releasing software that is robust enough to prevent common failure modes but lightweight enough to be minimally annoying. Here’s what it looks like when we make a change.
Meet the winners of Sustainable Industry: Rinse Over Run
Meet the winners who were best able to predict cleanliness levels and draw insights for more sustainable industrial practices!
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.
Meet the winners of Power Laws: Cold Start Energy Forecasting
Meet the winners who were best able to tackle the cold start problem in energy forecasting!
DrivenData On The Air: Of Checklists, Ethics, and Data
Emily Dorne and Peter Bull discuss project deon on Podcast.init!
Advancing data reporting and analytics in off-grid solar
Over 1 billion people lack access to electricity, and off-grid solutions need investment. DrivenData worked with The World Bank to analyze repayment data across dozens of pay-as-you-go (PAYG) off-grid solar energy companies and build out key performance indicators for PAYG portfolios.
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!
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!
Mapping agricultural supply chains from source to shelf
DrivenData worked with Fair Trade USA to create a "supply chain map" with interactive visualizations of how products were assembled, in space and time, from their origins to their retail destinations.
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