Learn · CERN

Talk35 min

HEP meets ML award talk : XGBoost

Tong HE and Tianqi CHEN · CERN

Watch At CERN

About

Tianqi Chen and Tong He (team crowwork) have provided very early in the challenge to all participants XGBoost (for eXtreme Gradient Boosted). It is a parallelised software to train boost decision trees, which has been effectively used by many participants to the challenge. For this, they have won the "HEP meets ML" award which is the invitation to CERN happening today..

0:00:00 Slide 1

0:00:39 Slide 2

0:01:19 Slide 3

0:03:12 Slide 4

0:04:17 Slide 5

0:04:55 Slide 6

0:05:44 Slide 7

0:08:24 Slide 8

0:09:58 Slide 9

0:11:03 Slide 10

0:12:59 Slide 11

The talk

  1. HEP meets ML award talk : XGBoost 2015-05-19 · 35 min · CERN's player

Credits and licence

Institution
CERN
Department
LAL (Orsay)
Taught by
Tong HE, Tianqi CHEN
Year
2015
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed