Resources

Discovering Subsumption Relationships for Web-Based Ontologies 2015/10/04 - 10:54am Academic Paper Subsumption Relationships, Web-Based Ontologies
Image Processing and Searching 2015/10/04 - 10:53am Academic Paper Image Processing, Image Searching
Crowdsourcing and the Semantic Web - A Research Manifesto 2015/10/04 - 10:51am Academic Paper Crowdsourcing, Semantic Web
Humble-Nishiyama Randomness Game - A New Variation on Penney's Coin Game 2015/10/04 - 10:50am Academic Paper Humble-Nishiyama Randomness Game, Penney's Coin Game, Coin Flip, Probabilistic Forecasts
Probabilistic Performance Evaluation for Multiclass Classification using the Posterior Balanced Accuracy 2015/10/04 - 10:48am Academic Paper Probabilistic Performance Evaluation, Multiclass Classification, Posterior Balanced Accuracy
Efficient Algorithms for Public-Private Social Networks 2015/10/04 - 10:46am Academic Paper Efficient Algorithms, Public-Private Social Networks, Algorithm
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
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
Compiling Relational Database Schemata into Probabilistic Graphical Models 2015/09/22 - 12:09am Academic Paper Relational Database Schemata, Probabilistic Graphical Models
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
High-dimensional Causal Inference: Exploiting the Power of Heterogeneous Data 2015/09/22 - 12:01am Video High-dimensional Causal Inference, Heterogeneous Data
Deep Reinforcement Learning by David Silver 2015/09/21 - 11:59pm Video Deep Reinforcement Learning, David Silver, Google, DeepMind
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
Optimal Algorithms for Learning Bayesian Network Structures 2015/09/21 - 11:53pm Video Algorithms, Bayesian Network Structures
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 Professionalization of Data Science by Michael Walker 2015/09/10 - 10:31pm Academic Paper Professionalization, Data Science, Profession, Michael Walker
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

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