Zero Tuning. State-of-the-Art Predictions. How TabH2O Changes Tabular ML

What if you could skip feature engineering, model selection, and hyperparameter tuning and still get state-of-the-art predictions on your tabular data?  Join us to learn about TabH2O, H2O.ai's foundation model for tabular data. In this hands-on session, you'll learn how tabular foundation models work and see live how TabH2O delivers predictions in seconds.  TabH2O outperforms tuned CatBoost, and LightGBM across 300+ benchmark datasets with zero hyperparameter tuning. 

In this session, you will: 

• Learn how tabular foundation models work and where they replace traditional ML pipelines
• Watch a live demo: get predictions on your dataset in under 3 seconds — no training, no hyperparameter tuning
• See time series forecasting with TabH2O
• Understand how TabH2O compares to traditional ML and other foundation models on 300+ benchmark datasets 

Who should attend:

• Data scientists
• ML engineers
• analytics leaders
• anyone curious about the future of tabular machine learning!