Introduction to Machine Learning 101 - Slides |
2015/10/01 - 10:28am |
Slides |
Machine Learning |

TimeMachine - Timeline Generation for Knowledge-Base Entities |
2015/10/01 - 10:25am |
Academic Paper |
TimeMachine, Timeline Generation, Knowledge-Base Entities |

Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC |
2015/10/01 - 10:24am |
Academic Paper |
Bayesian Matrix Factorization, Stochastic Gradient MCMC |

Focus on the Long-Term - It's better for Users and Business |
2015/10/01 - 10:22am |
Academic Paper |
Analytics, Business Analytics, Automated Predictions, Marketing, Experimentation On-line Advertising |

Inferring Causal Impact Using Bayesian Structural Time-series Models |
2015/10/01 - 10:18am |
Academic Paper |
Causal Impact, Bayesian Structural Time-series Models, Causality |

Encoding Reality - Prediction-Assisted Cortical Learning Algorithm in Hierarchical Temporal Memory |
2015/10/01 - 10:12am |
Academic Paper |
Cortical Learning Algorithm, Hierarchical Temporal Memory |

Variational Bayesian Mixed-effects Inference for Classification Studies |
2015/10/01 - 10:10am |
Academic Paper |
Variational Bayesian Mixed-effects Inference, Classification Studies |

Advanced Apache Spark |
2015/10/01 - 10:04am |
Video |
Spark |

Spark MLlib: Making Practical Machine Learning Easy and Scalable |
2015/10/01 - 10:01am |
Video |
Spark MLlib, Machine Learning |

Large Scale Distributed Machine Learning on Apache Spark |
2015/10/01 - 9:59am |
Video |
Machine Learning, Spark |

Spark and Spark Streaming at Uber |
2015/10/01 - 9:57am |
Video |
Spark, Spark Streaming, Uber |

Big Data, Analytics, and Insights |
2015/10/01 - 9:55am |
Video |
Analytics |

Introduction to Predictive Analytics |
2015/10/01 - 9:51am |
Video |
Predictive Analytics |

The Mathematician who Cracked Wall Street - Jim Simons |
2015/09/26 - 1:41am |
Video |
Finance, Trading, Decision Algorithms, James Simons |

Cyber Risk Report 2015 |
2015/09/24 - 7:28pm |
White Paper |
Cybersecurity, Data Security, Cyber Risk Report, 2015 |

The No-U-Turn Sampler - Adaptively Setting Path Lengths in Hamiltonian Monte Carlo |
2015/09/22 - 12:19am |
Academic Paper |
No-U-Turn Sampler, Path Lengths, Hamiltonian Monte Carlo, Monte Carlo Statistical Methods |

From Probabilistic Programming to Statistical Relational Learning |
2015/09/22 - 12:17am |
Academic Paper |
Probabilistic Programming, Statistical Relational Learning |

Introduction to Probabilistic Soft Logic |
2015/09/22 - 12:16am |
Academic Paper |
Probabilistic Soft Logic |

Introduction to Probabilistic Soft Logic - Slides |
2015/09/22 - 12:15am |
Slides |
Probabilistic Soft Logic |

Stan - Probabilistic Programming Language |
2015/09/22 - 12:13am |
Academic Paper |
Stan, Probabilistic Programming Language |

Stan Modeling Language User's Guide and Reference Manual, Version 2.2.0 |
2015/09/22 - 12:12am |
External Course |
Stan Modeling Language, User's Guide, Reference Manual |

Compositional Stochastic Modeling and Probabilistic Programming |
2015/09/22 - 12:10am |
Academic Paper |
Compositional Stochastic Modeling, Probabilistic Programming |

Accelerating Inference - Towards a Full Language, Compiler and Hardware Stack |
2015/09/22 - 12:07am |
Academic Paper |
Accelerating Inference, Full Language, Compiler, Hardware Stack |

Automated Variational Inference in Probabilistic Programming |
2015/09/22 - 12:06am |
Academic Paper |
Automated Variational Inference, Probabilistic Programming |

Lifted Inference for Probabilistic Programming |
2015/09/22 - 12:05am |
Academic Paper |
Lifted Inference, Probabilistic Programming |

Constraints for Probabilistic Logic Programming |
2015/09/22 - 12:04am |
Academic Paper |
Probabilistic Logic Programming |

Computational Complexity of Bayesian Networks |
2015/09/21 - 11:56pm |
Video |
Computational Complexity, Bayesian Networks |

Non-parametric Causal Models |
2015/09/21 - 11:55pm |
Video |
Non-parametric, Causal Models |

Belief Functions for the Working Scientist |
2015/09/21 - 11:51pm |
Video |
Belief Functions, Data Scientist |

Statistical Inference, Learning and Models in Big Data |
2015/09/11 - 7:21pm |
Academic Paper |
Statistical Inference, Learning Models |

Real-time Natural Language Processing for Crowdsourced Road Traffic Alerts |
2015/09/11 - 7:20pm |
Academic Paper |
Natural Language Processing, Crowdsource, Road Traffic Alerts |

Faster and More Accurate Sequence Alignment with SNAP |
2015/09/11 - 7:19pm |
Academic Paper |
Sequence Alignment, SNAP, Nucleotide Alignment |

Memory Networks |
2015/09/11 - 7:17pm |
Academic Paper |
Memory Networks, Machine Learning, Learning Models |

Generating Sequences With Recurrent Neural Networks |
2015/09/10 - 10:35pm |
Academic Paper |
Generating Sequences, Recurrent Neural Networks, Neural Networks |

Bayesian Decision Analysis of Clinical Trial Design |
2015/09/10 - 10:32pm |
Academic Paper |
Bayesian Decision Analysis, Clinical Trial Design, Bayesian |

The PageRank Citation Ranking: Bringing Order to the Web |
2015/09/10 - 10:28pm |
Academic Paper |
PageRank, Citation Ranking, Algorithm, Google |

Machine Learning & Business Value by Kush Patel |
2015/09/02 - 11:21am |
Slides |
Machine Learning, Business Value, Kush Patel, Machine Learning Symposium |

Statistical Interpretation of Inherently Structured Data by Michelle Archuleta |
2015/09/02 - 10:54am |
Slides |
Statistical Interpretation, Inherently Structured Data, Michelle Archuleta, Machine Learning Symposium |

Machine Learning Applications in the Real World by Michael Walker |
2015/09/02 - 10:53am |
Slides |
Machine Learning Applications, Michael Walker, Machine Learning Symposium |

Sankey Path Analysis of Web Button Clicks and Page Views by Nancy Abramson |
2015/09/02 - 10:50am |
Slides |
Sankey Path Analysis, Web Button Clicks, Page Views, Nancy Abramson, Machine Learning Symposium |

Using Machine Learning to Find Hackers and Malware by Sam Triolo |
2015/09/01 - 10:01pm |
Slides |
Machine Learning, Hackers, Malware, Security, Sam Triolo, Machine Learning Symposium |

Data Science in Action by Kamal Maheshwari |
2015/09/01 - 9:57pm |
Slides |
Data Science, Kamal Maheshwari, Machine Learning Symposium |

TIMELY: RTT-based Congestion Control for the Datacenter |
2015/08/21 - 12:07am |
Academic Paper |
TIMELY, Datacenter Transport, Delay-based Congestion Control, OSbypass, RDMA, Google, RTT-based Congestion Control, Datacenter |

Condor - Better Topologies Through Declarative Design |
2015/08/21 - 12:02am |
Academic Paper |
Condor, Topology Design, Expandable Topologies, SLO compliance, Declarative Design, Google |

BwE - Flexible, Hierarchical Bandwidth Allocation for WAN Distributed Computing |
2015/08/20 - 11:59pm |
Academic Paper |
BwE, Bandwidth Allocation, WAN Distributed Computing, Network Resources Allocation, Network Management |

Large-scale Cluster Management at Google with Borg |
2015/08/20 - 11:53pm |
Academic Paper |
Borg, Cluster Management, Google |

Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google’s Datacenter Network |
2015/08/20 - 11:49pm |
Academic Paper |
Jupiter, Clos Topology, and Centralized Control and Management, Google, Datacenter Networks |

A Day in the Life of a Data Scientist with Aster by Nancy Abramson and Paul Balas |
2015/08/20 - 11:41pm |
White Paper |
Data Science, Aster, Nancy Abramson, Paul Balas |

Bayesian Models of Human Action Understanding |
2015/08/16 - 4:56am |
Academic Paper |
Bayesian Models, Human Action, Bayesian Inference, Bayesian |

Teaching Machines to Read and Comprehend |
2015/08/15 - 2:23pm |
Academic Paper |
Teaching Machines, Machine Learning, Deep Learning |