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shima__shima
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Ronny Kohavi
@ronnyk
HiPPOs (Highest Paid Person's Opinion) given at #kdd2017 suite 302 (A/B tutorial room) 1pm. Encourage data driven. bitly.com/HIPPOExplained pic.twitter.com/7MM7L9VRmb
2017-08-13 22:34:04
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Kostas Pelechrinis
@kpelechrinis
#kdd2017 peeps learning about #sportsanalytics @ Scotiabank Centre instagram.com/p/BXvHiBXAjO5/
2017-08-13 22:48:30
Dirk Van den Poel
@dirkvandenpoel
Great @LinkedInEng use case on matching candidates to jobs using #DeepLearning #Tensorflow on #ApacheSpark w/ #Embeddings at #kdd2017 #SGD pic.twitter.com/YEh0XuGBuQ
2017-08-13 22:59:45
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Brett Wujek
@BrettWujek
@SASsoftware heading to #kdd2017 in Halifax. Looking forward to hearing about the latest #MachineLearning research pic.twitter.com/59FW0rJXVy
2017-08-13 23:01:50
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Junpei Komiyama
@jkomiyama_
@shima__shima Safe Data Analytics: Theory, Algorithms, and Applicationsです ittc.ku.edu/~jhuan/kdd17T.…
2017-08-13 23:09:07
Bert Huang 🐥
@berty38
Friends at #kdd2017, say hi to my student Sirui Yao at FATML tomorrow. She has a poster on fairer recommendation. fatml.org/schedule/2017/…
2017-08-13 23:51:57
Cristina Garbacea
@ggarbacea
KDD17 Tutorial: Learning Representations of Large-scale Networks w/ @MichiganIR and Jian Tang from MILA ongoing now #kdd2017 @umsi pic.twitter.com/noCluZo3xD
2017-08-14 01:24:52
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Dirk Van den Poel
@dirkvandenpoel
The case for controlled experiments at #kdd2017 to establish #causality; better sensitivity +detect unexpected conseq. by @ronnyk @microsoft pic.twitter.com/dYpi5kmOTB
2017-08-14 01:31:37
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Cristina Garbacea
@ggarbacea
Jian Tang on Learning Representations of Large-scale Networks #kdd2017 @umsi @MichiganIR pic.twitter.com/qDjYI91uqz
2017-08-14 02:06:58
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myamada0
@myamada0
KDD17 Tutorial: Learning Representations of Large-scale Networks sites.google.com/site/pkujianta…
2017-08-14 02:12:55
Ilknur Kabul
@ilknurkabul
@funda321 showing how you can run stacked ensembles using @SASsoftware at #kdd2017 pic.twitter.com/Usd8Nfzche
2017-08-14 03:07:01
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T'Christan Grant 🔥🐊
@drcegme
Funda Günes from @SASsoftware describing how to build, train, and test large ml models #bpdm2017 #kdd2017 pic.twitter.com/iPbTSpyFsr
2017-08-14 03:35:45
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T'Christan Grant 🔥🐊
@drcegme
Flavio Calmon from @hseas introducing the In-the-lab session at #bpdm2017 #kdd2017 pic.twitter.com/CPEXVwtKPa
2017-08-14 03:42:10
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Ashish Rauniyar
@innocuousashish
Deep Learning for Personalized Search and Recommender Systems #deeplearning #kdd2017 slideshare.net/BenjaminLe4/de… via @SlideShare
2017-08-14 03:56:38
Srijan Kumar, Ph.D.
@srijankedia
Join our tutorial on modeling malicious behavior on the web at #kdd2017 pic.twitter.com/zJ6uO0wtwZ
2017-08-14 04:19:46
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しましま
@shima__shima
特徴選択のチュートリアル public.asu.edu/~jundongl/tuto… に参加． scikit-learn と一緒に使える特徴選択のパッケージも配布している github.com/jundongl/sciki…
2017-08-14 04:37:55
しましま
@shima__shima
前半は，既存の手法について．特徴間の類似性がデータの類似性と一致していると，特徴はランダムに割り当てられたものではないとみなせるという規準で，無関係な特徴を排除しようとするのは見たことがなかった．
2017-08-14 04:38:18
しましま
@shima__shima
それにしても，lassoまわりも，どんどん複雑化してて，深層学習のネットワーク構造みたいだ．データストリームで新しい語などを選ぶ graphting とかは知らなかったが，圧縮保存したデータで再学習とか，まだ，効率とかやることはありそうだ．
2017-08-14 04:39:22
Mike Smit
@michael_smit
Kicking off #kdd2017 with a Halifax harbourfront cruise, talking about Big Data in Nova Scotia! Thanks @NSBI. pic.twitter.com/2y27s2087O
2017-08-14 07:02:35
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