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NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Machine Learning...
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Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Machine Learning and Hadoop by Josh Wills Abstract: We'll review common use cases for machine learning and advanced analytics found in our customer base at Cloudera and ways in which Apache Hadoop supports these use cases. We'll then discuss... Read more

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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Machine Learning...

February 28, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Machine Learning and Hadoop by Josh Wills Abstract: We'll review common use cases for machine learning and advanced analytics found in our customer base at Cloudera and ways in which Apache H...

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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Big Machine Learning...

February 13, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Big Machine Learning made Easy by Miguel Araujo Miguel Araujo holds a B.S and M.S in computer science from Universidad Antonio de Nebrija and San Diego State University. He is a Machine Lear...

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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: A Common GPU...

February 13, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: A Common GPU n-Dimensional Array for Python and C by Arnaud Bergeron Abstract: Currently there are multiple incompatible array/matrix/n-dimensional base object implementations for GPUs. This ...

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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Bootstrapping Big Data...

February 13, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Bootstrapping Big Data by Ariel Kleiner Abstract: The bootstrap provides a simple and powerful means of assessing the quality of estimators. However, in settings involving large datasets, the...

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- -: NIPS 2011 Big Learning Workshop - Algorithms, Systems, & Tools for Learning at Scale: NeuFlow...

February 13, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision by Yann LeCun (with Clement Farabet) Yann LeCun is Silver Professor of Computer Science and Neural Science at the Courant Instit...

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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Parallelizing Training ...

February 13, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Parallelizing Training of the Kinect Body Parts Labeling Algorithm by Derek Murray Abstract: We present the parallelized implementation of decision forest training as used in Kinect to train ...

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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Towards Human Behavior...

February 13, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Towards Human Behavior Understanding from Pervasive Data: Opportunities and Challenges Ahead by Nuria Oliver Nuria Oliver is currently the Scientific Director for the Multimedia, HCI and Data ...

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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: High-Performance Computing...

February 13, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: High-Performance Computing Needs Machine Learning...and Vice Versa by Nicolas Pinto Abstract: Large-scale parallelism is a common feature of many neuro-inspired algorithms. In this short paper...

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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Fast Cross-Validation...

February 14, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Fast Cross-Validation via Sequential Analysis by Tammo Kruger Abstract: With the increasing size of today's data sets, finding the right parameter configuration via cross-validation can be an...

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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Vowpal Wabbit Tutorial

February 14, 2012 (about 12 years ago)

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Tutorial: Vowpal Wabbit by John Langford Abstract: We present a system and a set of techniques for learning linear predictors with convex losses on terascale datasets, with trillions of features,\footnote{T...

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