Blog


Meet the winners of MagNet: Model the Geomagnetic Field

Meet the winners who were best able to predict disturbances in Earth's magnetic field, and hear them explain their creative solutions.

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Meet the Winners of the Differential Privacy Temporal Map Challenge: Sprint 2

Learn how these top teams built the most accurate ways to privatize census records.

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Meet the winners of Wind-dependent Variables: Predict Wind Speeds of Tropical Storms

Meet the winners who were best able to estimate the wind speeds of tropical storms at different points in time using satellite images.

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Meet the winners of the Genetic Engineering Attribution Challenge

Check out the winning solutions to identify the lab-of-origin for genetically engineered DNA, and meet their leaderboard-topping creators.

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Meet the winners of the Hateful Memes Challenge

Hear from the winners who were best able to detect hate speech in memes using multi-modal models.

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Meet the Winners of the Differential Privacy Temporal Map Challenge: Sprint 1

Hear how these top teams built the most accurate ways to privatize emergency call data in Baltimore.

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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.

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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.

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Meet the winners of TissueNet: Detect Lesions in Cervical Biopsies

Hear from the winners who were best able to diagnose whole slide images of cervical biopsies using computer vision.

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Easier Code Reviews for Jupyter Notebooks with nbautoexport

Learn how DrivenData uses nbautoexport, an open-source tool we developed, to make Jupyter Notebook code reviews easier.

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Community Spotlight: Quy Nguyen

The Community Spotlight features fantastic members from our DrivenData community. Quy Nguyen, a data scientist from Vietnam, talks about building time series models with lag features and the importance of storytelling in data science.

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Community Spotlight: Will Koehrsen

The Community Spotlight features fantastic members from our DrivenData community. Will Koehrsen, a full-stack data scientist from central Illinois, discusses tackling climate change with data science, being self-taught, and his favorite data science tools.

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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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Meet the winners of the Clog Loss Challenge for Alzheimer's Research

Meet the winners who were best able to detect clogged blood vessels and advance Alzheimer's research from 3D image stacks.

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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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Community Spotlight: Cecil Rivers, Jr.

The Community Spotlight features fantastic members from our DrivenData community. Cecil Rivers, an electrical engineer in West Hartford, USA, talks about tricks for image processing, recruiting for diversity in the sciences, and his favorite sci-fi reads.

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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.

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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.

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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.

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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.

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