Getting Your Feet Wet with Driverless AI
Details
Hello Makers!
Join us this evening to discuss automatic machine learning for the enterprise. Following is a brief agenda for the evening:
6 - 6:30 PM - Doors open and pizza
6:30 - 7:30 PM - Tom's Talk
7:30 - 7:45 PM - Q&A and Networking
Description:
H2O Driverless AI is H2O.ai's flagship platform for automatic machine learning. It fully automates the data science workflow including some of the most challenging tasks in applied data science such as feature engineering, model tuning, model optimization, and model deployment. Driverless AI turns Kaggle Grandmaster recipes into a full functioning platform that delivers "an expert data scientist in a box" from training to deployment.
We will be discussing the latest in Driverless AI, as follows:
Model Diagnostics
Standalone Java Scoring Pipeline
One click model deployment
Interpretability for Time-Series Capability
Local Feature Brain
FTRL Models & New Algorithms
Model Retraining & Checkpointing
AutoViz
Tom’s Bio:
Thomas Ott is a Senior Customer Solutions Engineer for H2O.ai. He started his career in Engineering working for large transportation firms around the USA before transitioning to the startup world in 2014. He comes to H2O.ai from his own Data Science consultancy and RapidMiner. A gritty and seasoned Sales Engineer, he worked across Product Marketing and Community Development and learned how to solve complex customer problems. He's a natural born tinkerer that loves figuring things out and getting it done.