Tutorial posts
Explore the latest in our mission to build a better world using data science and AI.
Content list
How to Predict Disturbances in the Geomagentic Field with LSTMs - Benchmark
We'll show you how to train an LSTM network using space weather data to predict changes in Earth's magnetic field for our latest challenge.
How to Use Deep Learning to Predict Tropical Storm Wind Speeds - Benchmark
We'll show you how to start predicting wind speeds for our latest disaster preparedness challenge.
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.
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!
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.
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!
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.
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!
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.
How to Use an LSTM for Time Series 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!
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!
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.
Random Walk of the Penguins - Benchmark
Penguins are so adorable! Here's our first pass at predicting penguin populations in Antarctica.
DengAI: Predicting Disease Spread - Benchmark
We're launching a new competition to forecast the spread of dengue.
America's Next Top (Statistical) Model - Benchmark
We're launching a new competition for forecasting the 2016 presidential election.
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