|
An Introduction to Variable and Feature Selection |
2016/03/03 - 11:43pm |
Academic Paper |
Variable and Feature Selection, Machine Learning |
|
Accelerating Science: A Computing Research Agenda |
2016/03/02 - 8:31pm |
White Paper |
Research Science, Computing Research, Cognitive Computing |
|
Change of Carrier Density at the Pseudogap Critical Point of a Cuprate Superconductor |
2016/02/26 - 7:06pm |
Academic Paper |
Carrier Density, Pseudogap Critical Point, Cuprates, Superconductors, Energy, Entropy |
|
Kylix - A Sparse Allreduce for Commodity Clusters |
2016/02/25 - 10:46pm |
Academic Paper |
Kylix, Sparse Allreduce, Commodity Clusters |
|
Butterfly Mixing - Accelerating Incremental-Update Algorithms on Clusters |
2016/02/25 - 10:44pm |
Academic Paper |
Butterfly Mixing, Incremental-Update Algorithms, Clusters |
|
Apache NiFi - Slides |
2016/02/25 - 10:42pm |
Slides |
Apache NiFi, NiFi |
|
Hadoop Vendor Evaluations 2016 |
2016/02/25 - 10:40pm |
White Paper |
Hadoop, Vendor, Evaluations, 2016 |
|
Enterprise Data Warehouse Vendors 2015 |
2016/02/23 - 11:49am |
White Paper |
Enterprise Data Warehouse, EDW, Vendors, DB, Database, 2015 |
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Scientific Computing Meets Big Data Technology - Astronomy Use Case |
2016/02/18 - 6:35pm |
Academic Paper |
Scientific Computing, Big Data Technology, Astronomy, Spark |
|
Concurrent and Distributed CloudSim Simulations |
2016/02/18 - 6:33pm |
Academic Paper |
Concurrent Distributed CloudSim Simulations |
|
Big Data - A Tool for Inclusion or Exclusion? |
2016/02/13 - 11:54am |
White Paper |
Big Data, Discrimination, Ethics, Data Science Code of Professional Conduct |
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Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams |
2016/02/05 - 11:21pm |
Academic Paper |
Random Forests, Fast Decision Trees, GPU, Data Streams |
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Deep Learning in Neural Networks - An Overview |
2016/02/05 - 11:14pm |
Academic Paper |
Deep Learning, Neural Networks, Overview |
|
Visual Analytics for Faster Decisions |
2016/02/05 - 11:12pm |
White Paper |
Visual Analytics, Decision Making |
|
Caffe - Convolutional Architecture for Fast Feature Embedding |
2016/02/05 - 11:09pm |
Academic Paper |
Caffe, Convolutional Architecture, Fast Feature Embedding |
|
On the Importance of Initialization and Momentum in Deep Learning |
2016/02/05 - 10:53pm |
Academic Paper |
Initialization, Momentum, Deep Learning |
|
Tensor Decompositions for Learning Latent Variable Models |
2016/02/05 - 10:52pm |
Academic Paper |
Tensor Decompositions, Learning Latent Variable Models, Latent Variable Models |
|
Future of Data Science |
2016/02/05 - 10:24pm |
Video |
Future, Data Science |
|
Data Science and Statistics: Different Worlds? |
2016/02/05 - 9:53pm |
Video |
Data Science, Statistics |
|
State of Artificial Intelligence in 2016 - World Economic Forum |
2016/02/05 - 9:42pm |
Video |
Artificial Intelligence, 2016, World Economic Forum |
|
The Master Algorithm by Pedro Domingos |
2016/02/05 - 9:39pm |
Video |
Master Algorithm, Pedro Domingos |
|
The Theory of Everything by Demis Hassabis |
2016/02/05 - 9:37pm |
Video |
The Theory of Everything, Demis Hassabis |
|
General Learning Algorithms by Demis Hassabis |
2016/02/05 - 9:34pm |
Video |
General Learning Algorithms, Algorithms, Demis Hassabis |
|
Inside DeepMind |
2016/02/05 - 9:32pm |
Video |
DeepMind, Google, Intelligent Machines, Artificial Intelligence |
|
Computer that Mastered Go |
2016/02/05 - 9:29pm |
Video |
AlphaGo, Go, Deep Convolutional Neural Networks, Monte Carlo Tree Search |
|
Ground-breaking AlphaGo Masters Game of Go |
2016/02/05 - 9:27pm |
Video |
AlphaGo, Go, Deep Convolutional Neural Networks, Monte Carlo Tree Search |
|
Maximum Flow Algorithm in GraphX (Slides) |
2016/01/27 - 4:36pm |
Slides |
Spark |
|
Deep Learning Tutorial - 2015 |
2016/01/26 - 12:20pm |
External Course |
Deep Learning, Tutorial |
|
Deep Learning with H2O |
2016/01/26 - 12:19pm |
White Paper |
Deep Learning, H2O |
|
H2O Machine Learning Platform - Datasheet |
2016/01/26 - 12:16pm |
White Paper |
H2O, Machine Learning, Platform |
|
Torch7 - Matlab-like Environment for Machine Learning |
2016/01/26 - 12:13pm |
Academic Paper |
Torch7, Machine Learning |
|
Drone Traffic Management System |
2016/01/22 - 9:17pm |
Academic Paper |
Drone, Traffic Management System |
|
Graph Isomorphism in Quasipolynomial Time |
2016/01/16 - 1:00pm |
Academic Paper |
Graph Isomorphism, Quasipolynomial Time |
|
Capital Markets and Job Creation in the 21st Century |
2016/01/16 - 12:57pm |
White Paper |
Capital Markets, Job Creation, Public Policy, Finance, Economics |
|
Hiring Processes - Predicting Future Job Performance |
2016/01/16 - 12:53pm |
Academic Paper |
Hiring Processes, Job Performance, Human Capital, Talent Strategy |
|
Predictive Analytics Technology 2015 |
2016/01/16 - 12:51pm |
White Paper |
Predictive Analytics, Vendors, Technology |
|
ScalaCL for GPUs - Slides |
2016/01/16 - 12:44pm |
Slides |
ScalaCL, GPU, HPC, Scala |
|
Programming Models for Exascale Systems |
2016/01/16 - 12:38pm |
Video |
Programming Models, Exascale Systems |
|
GPU Programming for Beginners |
2016/01/16 - 12:37pm |
Video |
GPU Programming, GPU |
|
Introduction to GPUs |
2016/01/16 - 12:35pm |
Video |
GPU |
|
Vulpes: Functional Approach to Deep Machine Learning on the GPU |
2016/01/16 - 12:33pm |
Video |
Vulpes, Deep Machine Learning, GPU |
|
Things You Can Do with a Recurrent Neural Network |
2016/01/16 - 12:30pm |
Video |
Recurrent Neural Network |
|
Algorithmic Music Generation with Recurrent Neural Networks |
2016/01/16 - 12:27pm |
Video |
Algorithmic Music Generation, Recurrent Neural Networks |
|
Hacking Roller Coaster Tycoon with Genetic Algorithms and Go |
2016/01/16 - 12:26pm |
Video |
Hacking Roller Coaster Tycoon, Genetic Algorithms, Go |
|
Science Of Persuasion |
2016/01/16 - 12:23pm |
Video |
Science Of Persuasion |
|
Paradox Of The False Positive |
2016/01/16 - 12:22pm |
Video |
False Positives |
|
Generating Text with Recurrent Neural Networks |
2015/12/12 - 11:13pm |
Academic Paper |
Generating Text, Recurrent Neural Networks |
|
Estimating the Hessian by Back-propagating Curvature |
2015/12/12 - 11:11pm |
Academic Paper |
Hessian, Back-propagating Curvature |
|
Training Deep and Recurrent Neural Networks with Hessian-Free Optimization |
2015/12/12 - 11:10pm |
Academic Paper |
Training Deep and Recurrent Neural Networks with Hessian-Free Optimization |
|
Subword Language Modeling with Neural Networks |
2015/12/12 - 11:08pm |
Academic Paper |
Subword Language Modeling with Neural Networks |
