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XGBoost: meetup announcement

XGBoost: meetup announcement

·1 min
Meetups Machine Learning / Data Science data science machine learning predictive modeling kaggle xgboost
Author
Author
Szilard Pafka

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

**Timeline:**– 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.

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