Scorecard Calibration Using Monotone Adjacent Pooling Algorithm |
2014/03/10 - 10:07am |
Slides |
Predictive Analytics, Predictive Modeling, Algorithms, Scorecard Calibration, Monotone Adjacent Pooling Algorithm, Decision Trees |

Combining and Evaluating Probabilistic Forecasts |
2014/03/09 - 11:43am |
Academic Paper |
Density Forecasts, Probabilistic Logic, Probabilistic Models, Probabilistic Forecasts |

Predictivistic Bayesian Forecasting System |
2014/03/08 - 10:57am |
White Paper |
Predictive Analytics, Bayesian Inference, Forecasting, Combining Density Forecasts, Forecast Evaluation, Predictivism |

Graduate Degrees & Online Courses for Data Science and Advanced Analytics - As of March 7, 2014 |
2014/03/07 - 12:01pm |
External Course |
Graduate Degrees, Online Courses, Data Science, Advanced Analytics |

Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models |
2014/03/07 - 11:59am |
External Course |
EM Algorithm, Gaussian Mixture, Hidden Markov Models, Baum-Welch Algorithm |

Blown to Bits - Your Life, Liberty, and Happiness After the Digital Explosion |
2014/03/06 - 11:22am |
White Paper |
Information Privacy Law, Digital Data, Privacy, Personal Identity, Personal Control, Regulation, Digital Technologies, Internet, Free Speech |

Metadata Report 2014- Piecing Together a Privacy Solution |
2014/03/05 - 10:37am |
White Paper |
Privacy, Metadata, Information Privacy Law, General Data Protection Regulation, Regulation, Data Security |

Improving Forecasting by Estimating Time Series Structural Components Across Multiple Frequencies - Paper |
2014/03/04 - 8:44am |
Academic Paper |
Predictive Analytics, Combining Forecasts, Exponential Smoothing, Algorithms, Multiple Aggregation Prediction Algorithm, Temporal Aggregation, Scorecard Calibration, Monotone Adjacent Pooling Algorithm |

Improving Forecasting by Estimating Time Series Structural Components Across Multiple Frequencies - Slides |
2014/03/04 - 8:41am |
Slides |
Predictive Analytics, Forecasting, Time Series, Algorithms, Multiple Aggregation Prediction Algorithm, Temporal Aggregation, Scorecard Calibration, Monotone Adjacent Pooling Algorithm |

Agent-based Modeling of a Price Information Trading Business |
2014/03/03 - 10:56am |
Academic Paper |
Agent-based Model, Intelligent Agents, Multi-Agent System, Computer Simulations, Information Markets |

Text Mining with Python |
2014/03/03 - 10:51am |
Slides |
Text Mining, Python |

Druid Data Ingest |
2014/03/03 - 10:49am |
Slides |
Druid, Data Ingest, Data Aggregation, Real-Time, Exploratory Analytics, Big Data Infrastructure |

A Support Vector Machine Approach for Object Based Image Analysis |
2014/03/02 - 12:03pm |
Academic Paper |
Support Vector Machine, Image Analysis, Remote Sensing, Computational Intelligence, Machine Learning, Object Oriented Classification, Multi-scale Segmentation |

Mindsight: How Can We Create a Healthy Mind? |
2014/03/01 - 1:06pm |
Video |
Brain, Mind, Relationships, Mental Health, Mindsight, Integrated Brain |

The Computational Future - Computational Experiments |
2014/03/01 - 1:02pm |
Video |
Computational Experiments |

Wolfram Language Introduction |
2014/03/01 - 12:54pm |
Video |
Wolfram Language, Mathematica, Symbolic Programming Language |

Arch-Garch Models - Generalized Autoregressive Conditional Heteroskedasticity Model |
2014/03/01 - 12:09pm |
Academic Paper |
Finance, Volatility, Arch-Garch Models, Autoregressive Conditional Heteroskedasticity Model, Autoregressive Conditional Duration, Dynamic Factor Models, Heteroskedasticity, High-frequency Data, Temporal Aggregation, VAR |

Evolving Hidden Markov Models For Network Anomaly Detection |
2014/03/01 - 11:56am |
Academic Paper |
Baum- Weld Algorithm, Hidden Markov Models, Anomaly Detection, Genetic Algorithms, Algorithms, Probabilistic Logic |

What Happened to the Quants in August 2007 |
2014/03/01 - 11:54am |
Academic Paper |
Finance, Quantitative Finance, High-frequency Financial Trading, Chaos Theory, Efficient Market Theory, Hedge Funds, Probabilistic Models, Risk Management |

Bayesian Reasoning and Machine Learning |
2014/02/27 - 11:56am |
Academic Paper |
Bayesian, Bayesian Analysis, Machine Learning, Algorithms, Data Science, Markov, Random Forests, Probabilistic Models |

Druid - Real-time Analytical Data Store |
2014/02/26 - 9:28am |
Academic Paper |
Druid, Streaming, Real-time Analytics, Data Store, Column-oriented Storage, Data Ingestion, Shared-nothing Architecture |

Elements of Statistical Learning - Data Mining, Inference and Prediction |
2014/02/26 - 9:23am |
Academic Paper |
Statistics, Data Mining, Inference, Predictive Analytics, Regression, Supervised Learning |

Engineering Data Analysis with R and ggplot2 |
2014/02/25 - 12:52pm |
Video |
Data Analysis, R, ggplot2 |

Tree Ensembles - Advances In Gradient Boosting: Power of Post-Processing |
2014/02/24 - 5:40pm |
Video |
Tree Ensembles, Predictive Analytics, Boosting, Gradient Boosting, Post-Processing |

Data Visualization in Sports 2013 |
2014/02/24 - 5:37pm |
Video |
Sports, Data Science, Data Visualization |

Predictive Sports Betting |
2014/02/24 - 5:23pm |
Video |
Sports, Data Science, Predictive Analytics, Sports Betting |

Basketball Analytics 2013 |
2014/02/24 - 5:12pm |
Video |
Sports, Data Science, Basketball Analytics |

An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting and Variants |
2014/02/24 - 7:38am |
Academic Paper |
Algorithms, Classification Algorithms, Voting Classification Algorithms, Bagging, Boosting, Variants, Decision Trees, Naive-Bayes, Mean-squared Error, Adaboost |

Applications of Hidden Markov Models to Speech Recognition |
2014/02/23 - 11:05pm |
Academic Paper |
Speech Recognition, Probabilistic Logic, Expectation–Maximization (EM) Algorithm, Hidden Markov Models, Baum–Welch Algorithm, Predictive Analytics |

Expectation–Maximization (EM) Algorithm |
2014/02/23 - 11:02pm |
Academic Paper |
Algorithms, Probabilistic Logic, Expectation–Maximization (EM) Algorithm, Hidden Markov Models, Baum–Welch Algorithm, Predictive Analytics |

Example of the Baum-Welch Algorithm |
2014/02/23 - 11:00pm |
Academic Paper |
Algorithms, Probabilistic Logic, Markov, Hidden Markov Models, Baum–Welch Algorithm, Predictive Analytics |

Hidden Markov Models and Baum–Welch Algorithm |
2014/02/23 - 10:57pm |
Slides |
Algorithms, Probabilistic Logic, Markov, Hidden Markov Models, Baum–Welch Algorithm, Predictive Analytics |

Baum–Welch Algorithm for Estimating a Hidden Markov Model |
2014/02/23 - 10:55pm |
Academic Paper |
Algorithms, Probabilistic Logic, Markov, Hidden Markov Models, Baum–Welch Algorithm, Predictive Analytics |

Outlier Detection - Applications and Techniques |
2014/02/23 - 10:53am |
Academic Paper |
Anomaly Detection, Outlier Detection, Outlier Applications, Outliers, Neural Networks |

Quality of Similarity Rankings in Time Series |
2014/02/22 - 11:13am |
Slides |
Similarity Rankings, Time Series, Distance Functions, High-dimensional Data Sets, Shared Nearest Neighbor, Curse of Dimensionality |

Mining the Web to Predict Future Events |
2014/02/21 - 6:26am |
Academic Paper |
Predictive Analytics, Forecasting, Algorithms, Experimentation, News Corpora, Predicting Future News, Artificial Intelligence |

Combinatorial Approaches to Clustering and Feature Selection |
2014/02/21 - 6:23am |
Academic Paper |
Clustering, Feature Selection, Search, High-dimensional Data Sets, Curse of Dimensionality |

Coordinate - Probabilistic Forecasting of Presence and Availability |
2014/02/20 - 11:14am |
Academic Paper |
Predictive Analytics, Probabilistic Logic, Forecasting, Bayesian Forecasting Service |

The New Rules of Robot/Human Society |
2014/02/19 - 12:36pm |
Video |
Robotics, Social Science |

Introduction to Python for Beginning Programmers |
2014/02/19 - 12:33pm |
Video |
Python, Data Science |

BigQuery, IPython, Pandas and R for Data Science |
2014/02/19 - 12:31pm |
Video |
Python, BigQuery, IPython, Pandas, R, Data Science |

Data Science and Smart Systems |
2014/02/19 - 12:27pm |
Video |
Data Science, Smart Systems |

Mining of Massive Datasets |
2014/02/19 - 9:40am |
Academic Paper |
Data Science, Data Mining, Algorithms, Machine Learning, Clustering, MapReduce, Dimensionality Reduction |

Exploring Compact Reinforcement-learning Representations with Linear Regression |
2014/02/19 - 9:34am |
Academic Paper |
Algorithms, Online Linear Regression, Reinforcement-learning Representations, Machine Learning, KWIK Framework. |

Bayesian Inference, Entropy and the Multinomial Distribution |
2014/02/18 - 8:50am |
Academic Paper |
Bayesian Inference, Entropy, Multinomial Distribution, Predictive Analytics, Predictive Densities, Evidence Scores., Markov Chains |

Exploring High-dimensional Classiﬁcation Boundaries |
2014/02/16 - 12:03pm |
Academic Paper |
Classification, Classification Algorithms, Classiﬁcation Boundaries, GGobi, R |

Computing Immutable Regions for Subspace Top-k Queries |
2014/02/16 - 12:00pm |
Academic Paper |
Time Series, State Space Time Series, K-subspace Algorithm, Multi-Dimensional Time-Series, Top-k Queries |

Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data |
2014/02/16 - 11:57am |
Academic Paper |
Time Series, State Space Time Series, K-subspace Algorithm, Top-K Subspace Anomalies, Multi-Dimensional Time-Series |

Practical Tools for Exploring Data and Models - Slides |
2014/02/16 - 11:52am |
Slides |
Data Reshaping, Data Visualization, Data Exploration |

Practical Tools for Exploring Data and Models |
2014/02/16 - 11:50am |
Academic Paper |
Data Reshaping, Data Visualization, Data Exploration |