Grandmaster Pro Tip: Winning First Place in a Kaggle Competition with Stacking Using cuML
What does it take to win a Kaggle competition in 2025? In the April Playground challenge, the goal was to predict how long users would listen to a podcast—and...
Kaggle Grandmasters Unveil Winning Strategies for Data Science Superpowers
Kaggle Grandmasters David Austin and Chris Deotte from NVIDIA and Ruchi Bhatia from HP joined Brenda Flynn from Kaggle at this year’s Google Cloud Next...
Build Efficient Recommender Systems with Co-Visitation Matrices and RAPIDS cuDF
Recommender systems play a crucial role in personalizing user experiences across various platforms. These systems are designed to predict and suggest items that...
Analyzing the Security of Machine Learning Research Code
The NVIDIA AI Red Team is focused on scaling secure development practices across the data, science, and AI ecosystems. We participate in open-source security...
Pro Tips for Building Multilingual Recommender Systems
Picture this: You're browsing through an online store, looking for the perfect pair of running shoes. But with thousands of options available, where do you even...
Competition and Community Insights from NVIDIA’s Kaggle Grandmasters
In this post, we summarize questions and answers from GTC sessions with NVIDIA’s Kaggle Grandmaster team. Additionally, we answer audience questions we...
