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Beijing China
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sde
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data science
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Making Netflix Machine Learning Algorithms Reliable
Justin Basilico
•
6 years ago
Déjà Vu: The Importance of Time and Causality in Recommender Systems
Justin Basilico
•
6 years ago
Tips and tricks to win kaggle data science competitions
Darius Barušauskas
•
7 years ago
Distilling dark knowledge from neural networks
Alexander Korbonits
•
7 years ago
Using the search engine as recommendation engine
Lars Marius Garshol
•
10 years ago
10 Lessons Learned from Building Machine Learning Systems
Xavier Amatriain
•
9 years ago
Collaborative Filtering with Spark
Chris Johnson
•
10 years ago
Hive tuning
Michael Zhang
•
10 years ago
Factorization Machines with libFM
Liangjie Hong
•
11 years ago
Hadoop Performance at LinkedIn
Allen Wittenauer
•
11 years ago
Building Large-scale Real-world Recommender Systems - Recsys2012 tutorial
Xavier Amatriain
•
11 years ago
Hadoop and Cloud at Netflix
DataWorks Summit
•
11 years ago
Future of HCatalog - Hadoop Summit 2012
Hortonworks
•
12 years ago
Hadoop Summit 2012 - Hadoop and Vertica: The Data Analytics Platform at Twitter
Bill Graham
•
12 years ago
Logistic Regression
Dong Guo
•
12 years ago
Hpca2012 facebook keynote
parallellabs
•
12 years ago
Social Recommender Systems Tutorial - WWW 2011
idoguy
•
13 years ago
Recommender system algorithm and architecture
Liang Xiang
•
12 years ago
Hadoop World 2011: Advanced HBase Schema Design
Cloudera, Inc.
•
12 years ago
Chicago Data Summit: Apache HBase: An Introduction
Cloudera, Inc.
•
13 years ago