Hello Seattle Makers!
Join us this evening to hear from our own, Michelle, on how to get up to speed with automatic machine learning using H2O Driverless AI.
Following is a brief agenda for the evening:
6:00 - 6:30 PM: Doors open for networking and pizza
6:30 - 7:15 PM: Michelle's talk
7:15 - 7:30 PM: Q&A
7:30 PM - 8:00: Networking
8:00 PM: Event Ends
H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months. With Driverless AI, everyone including expert and junior data scientists, domain scientists, and data engineers can develop trusted machine learning models. This next-generation automatic machine learning platform delivers unique and advanced functionality for data visualization, feature engineering, model interpretability and low-latency deployment. We will be discussing the latest features in Driverless AI:
• Ingest Data
• Understand your Data and Automatic Visualization
• Build Predictions Automatically
• Automatic Feature Engineer
• Automatic Model Selection
• Regression, Binary Classification, Multi-Classification, Forecasting, NLP
• Explain and Audit Predictions with Machine Learning Interpretability
• Package and Deploy Scoring Pipelines
Michelle is a Customer Solutions Engineer & Data Scientist for H2O.ai. Prior to H2O she worked as a Senior Data Science Consultant for Teradata, focused on leading analytics projects to solve cross-industry business problems. Her background is in pure math and computer science and she is passionate about applying these skills to answer real world questions. When not coding or thinking of analytics, Michelle can be found hanging out with her dog or playing ukulele.