H2O Driverless AI is H2O.ai’s latest flagship product for automatic machine learning. It fully automates some of the most challenging and productive tasks in applied data science such as feature engineering, model tuning, model ensembling and model deployment. Driverless AI turns Kaggle-winning grandmaster recipes into production-ready code, and is specifically designed to avoid common mistakes such as under or overfitting, data leakage or improper model validation, some of the hardest challenges in data science. Avoiding these pitfalls alone can save weeks or more for each model, and is necessary to achieve high modeling accuracy.
With Driverless AI, data scientists of all proficiency levels can train and deploy modeling pipelines with just a few clicks from the GUI. Advanced users can use the client API from Python. Driverless AI builds hundreds or thousands of models under the hood to select the best feature engineering recipes for your specific problem.
To speed up training, Driverless AI uses highly optimized C++/CUDA algorithms to take full advantage of the latest compute hardware. For example, Driverless AI runs orders of magnitudes faster on the latest Nvidia GPU supercomputers on Intel and IBM platforms, both in the cloud or on premise.
There are two more product innovations in Driverless AI: statistically rigorous automatic data visualization and interactive model interpretation with reason codes and explanations in plain English. Both help data scientists and analysts to quickly validate the data and the models.
In this talk, we explain how Driverless AI works and show how easy it is to reach top 5% rankings for several highly competitive Kaggle competitions.
Sai is a Data Scientist at h2o.ai. Sai has a Master’s degree in Statistics from Arizona State University and a Bachelor’s degree from PSG College of Technology, India. Sai was previously a Senior Data Scientist at Dexcom, a diabetes management system company based in San Diego. He has also worked for Medtronic, healthcare technology company based in Minneapolis and Larsen and Toubro, India. He has immense experience in developing and deploying machine learning models in the healthcare and the manufacturing domain. Sai is an avid fan of data visualization and story-telling. He is R evangelic. In his spare time, he enjoys hiking and spending time outdoors.