Analizzare i dati di una competizione Kaggle e provare alcune librerie; workshop pratico, con possibilità di lavorare su Colab.

Learn how to speed up popular data science libraries such as pandas and scikit-learn by up to 50x in Google Colab using pre-installed NVIDIA RAPIDS Python libraries. Boost both speed and scale for your workflows by simply selecting a GPU runtime in Colab – no code changes required. In addition, Gemini helps Colab users incorporate GPUs and generate pandas code from simple natural language prompts.

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Hear from Kaggle Grandmasters from NVIDIA and beyond as they talk through how they approach competitions, current events in AI and answer your questions! We're inviting the folks who submit the best and most interesting questions to chat with the Grandmasters after in a small group setting. Sharpen your thinking cap and let us know what's really on your mind!

What if you could just speak to websites in the future? Learn how to use a local web AI agent in this case, Google’s Gemma 2 LLM (2B), running in browser via WebGPU (for privacy and cost) to enable a more natural interface to perform tasks on your site.