Ensemble methods are commonly used to boost predictive accuracy by combining the predictions of multiple machine learning models. The traditional wisdom has been to combine so-called “weak” learners. However, a more modern approach is to create an ensemble of a well-chosen collection of strong yet diverse models. Building powerful ensemble models
This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which algorithm should
A previous post, Spatial econometric modeling using PROC SPATIALREG, introduced the SAS/ETS® SPATIALREG procedure and demonstrated its usage to fit both linear and SAR models by using 2013 county-level home value data in North Carolina. In most analysis for spatial econometrics, you rarely know the true model from which your data
I am often asked to describe my career as a woman in analytics and provide some insights to guide women who wish to be part of this field and to succeed as leaders in the profession. I have divided my comments on women in analytics into sections, starting from the beginning,
I recently met Mrs. Claus at the INFORMS Annual Meeting, where we got to talking about the social network analysis session she’d just attended. It turns out Mrs. Claus and I are both fans of a book by Alex Pentland, Social Physics: How Social Networks Can Make Us Smarter. Apparently
In honor of today’s #GivingTuesday, which "harnesses the potential of social media and the generosity of people around the world to bring about real change in their communities,” I’ve been thinking about what constitutes “real change” and the role analytics can play on the many social issues our planet faces.