Description: This article introduces unsupervised methods: modeling methods that do not depend on picking an independent variable and dependent variable. Such methods are used, among other things, for determining how entities are clustered.

Description: Predictably Irrational, by Dan Ariely, is considered a seminal work in behavioral science. This book review gives a chapter by chapter synopsis of the book.

Description: The author, Mary Pat Campbell, participated in the 4th season of the Good Judgment Project, a prediction tournament. She explains the basic metric used for evaluating predictions in the contest and some of the lessons learned from her participation.

Description: Matrix decomposition techniques are used to find main features of a dataset. These features can be used to describe the data or to find clusters of objects. The decompositions have problems when the matrices have missing data or are from different exposures. This article examines the issue and some papers dealing with it.

Description: Summary of the book "Thinking, Fast and Slow" by Daniel Kahneman.

Description: Reflections on SOA delphi study released Oct 2005

Description: Spark offers a way to get some dramatic speed and scalability advantages over the Map-reduce methodology whenever you are doing iterative data processing and particularly when you want interactive data analysis capability. Find out why “lazy execution” can be a desirable characteristic when dealing with big data.

Description: This article explains how to create more maintainable models using abstractions by relating it to option, machine learning and machine intelligence models.

Description: A discussion on the myths of artificial intelligence.

Description: Actuaries provide special subject matter expertise to question (or validate) the results of data analytics models. Other quants often cannot do this.