Kaggle Winning Solution Xgboost Algorithm - Learn from Its Author, Tong He

[@Amine-gp8im]

Very clear and very interesting. thank you very much. the exciting part start from 11:20

[@Quake203]

Almost jumped out of my skin at 8:30 yeesh

[@kaushaltak007]

If someone here is confused either to watch this video or the Tianqi's video, I would suggest to go through either this one or both. Good Tutorial.

[@CC-um5mh]

Very comprehensive, thanks

[@adarshsantoria4553]

Very insightful.
Requesting links of paper and articles.

[@milankarunarathne949]

Excellent tutorial.

[@张杰-n4t]

Nice tutorial,thank you.

[@newbie8051]

For those into the mathematics, watch from 23:01

[@bennyguo6101]

GOOD TUTORIAL

[@刘甲得]

The audience is so rude!

[@41abhishek]

where will I get the benchmark code? Can anyone share the link? Thanks

[@apekshaagrawal6696]

where do I find the R script used in this video for Higgs Boson Machine Learning Challenge?

[@chiragyadav18]

Can you please post the link for the slides

[@paninilal8322]

here you go... blog.nycdatascience.com/faculty/kaggle-winning-solution-xgboost-algorithm-let-us-learn-from-its-author-3/

[@StuartHallows]

Link no longer working

[@akrsrivastava]

What a disinterested set of audience!!!

[@zes7215]

no such thing as interes or disinters

[@drsudhansusekharsenapati5504]

bst=xgboost(data=train,label=train$label, nround=2, objective="binary:logistic")
error message -
Error in xgb.get.DMatrix(data, label) : xgboost: Invalid input of data
In addition: Warning message:
In xgb.get.DMatrix(data, label) : xgboost: label will be ignored.

[@adityaroyalmatturi2962]

@24:21

[@adityaroyalmatturi2962]

I just wanted to remember where I stopped

[@jiehu6323]

data = train$data

[@adityaroyalmatturi2962]

@45

[@johnhhu2137]

guo lai kan kan da shen

[@luismigueldominguez5593]

What a horrible audience! I sorry for the presenter

[@liaojunchao9210]

Oh my god, could you be more unclear about this topic?

[@zes7215]

idiot