Automatic Machine Learning in R with H2O

At this event, Erin LeDell, Chief ML Scientist at H2O.ai and R-Ladies SF co-organizer, will provide an overview of the field of "Automatic Machine Learning" (AutoML), and lead a hands-on tutorial of the AutoML functionality in the "h2o" R package.

No pre-requisite knowledge of ML is required, though some familiarity with the basics of classification and regression will be helpful.

H2O’s AutoML can be a helpful tool for both the novice and advanced user, by providing a simple function that performs a large number of modeling-related tasks that would typically require many lines of code. The function will automatically train and tune many models within a user-specified time-limit. Stacked Ensembles will be automatically trained on collections of individual models to produce highly predictive ensemble models which, in most cases, will be the top performing models in the AutoML Leaderboard.

Learn more here: http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html

AGENDA:
6pm - 6:30pm: Networking
6:30pm - 7:45pm: Talk & Tutorial
7:45pm - 8pm: Networking

• What to bring:
Laptop is highly encouraged

• Important to know
CODE OF CONDUCT
Anyone who violates or has previously violated this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition.
https://github.com/rladies/starter-kit/wiki/Code-of-Conduct

• The mission of R-Ladies is to achieve proportionate representation by encouraging, inspiring, and empowering people of genders currently underrepresented in the R community.

We are emphatically queer and trans friendly.

• Refreshments and food will be provided.

A huge thank you to Sojern (https://www.sojern.com/) for hosting us!