XGBoost is a fantastic open source implementation of Gradient Boosting Machines, one of the most accurate general purpose supervised learning algorithms. With interfaces from both R and Python among others, it has become a favorite tool in Kaggle competitions, and it’s also widely used in real-world applications. In this meetup we’ll have a talk from the best person on the topic, Tianqi Chen, main author of XGBoost.
UPDATE: Video recording and slides are available now here.
Date: June 2nd, 2016
– 7:00pm arrival, food/drinks and networking
– 8:00pm introductions, main talk
– 9:30pm after party: more networking, drinks, games, demos etc
– 11:30pm closing
You must have a confirmed RSVP and please arrive by 7:55pm the latest. Please RSVP here on Eventbrite.
Venue: Red Bull Media House, 1740 Stewart Street, Santa Monica
Parking: You can park for free in the gated Red Bull Media House parking lot.
Thanks Red Bull Media House for hosting at this awesome venue and Electronic Arts (EA)for sponsoring Tianqi’s trip to LA.