LABSBlog
Community Spotlight: Lamia Zaghloul
The Community Spotlight features fantastic members from our DrivenData community. Lamia Zaghloul, a data analysis consultant in Marseille, France, discusses fog nets, generative art, and using data science competitions to "study up" the rich and powerful.
Read More →
The missing guide to AzureML, Part 3: Connecting to data and running your machine learning pipeline
Use what you've learned about AzureML to create and run your first machine learning pipeline in the AzureML cloud.
Read More →
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.
Read More →
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.
Read More →
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.
Read More →
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!
Read More →
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
Read More →
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.
Read More →
Meet the winners of the Hakuna Ma-Data Challenge
Meet the winners who built the best wildlife identifiers!
Read More →
Meet the winners of the Open AI Caribbean Challenge
Meet the winners who were best able to map disaster risk from aerial imagery!
Read More →
Segmenting Buildings for Disaster Resilience - Benchmark
We'll show you how to start detecting building outlines for our latest disaster resilience challenge.
Read More →
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!
Read More →
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.
Read More →
Richter's Predictor - Benchmark
In this post we'll show you how to start using data science to predict the extent of earthquake damage!
Read More →
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.
Read More →
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!
Read More →
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.
Read More →
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!
Read More →
DrivenData On The Air: Of Checklists, Ethics, and Data
Emily Dorne and Peter Bull discuss project deon on Podcast.init!
Read More →
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!
Read More →