Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Visual Studio Magazine

Multi-Class Classification Using PyTorch: Model Accuracy

Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...
JSTOR Daily

Joint Latent Class Model for Longitudinal Data and Interval-Censored Semi-Competing Events: Application to Dementia

Joint models are used in ageing studies to investigate the association between longitudinal markers and a time-to-event, and have been extended to multiple markers and/or competing risks. The ...
Atlanta Journal-Constitution

Performance-based classification model is worth the headaches for GHSA

THOMASTON — Educators from across Georgia gathered at the GHSA offices Friday morning to discuss an objective that would seem difficult to oppose — arranging the association’s seven classifications to ...
mccormick.northwestern.edu

MLDS 401: Machine Learning I

The objectives of the course are two-fold: To learn to use common parametric regression and classification modeling techniques to develop predictive models for medium to large data sets. Understand ...
Visual Studio Magazine

Multi-Class Classification Accuracy by Class Using PyTorch

Dr. James McCaffrey of Microsoft Research: When multi-class data is skewed toward one or more classes, it's very important to analyze accuracy by class. A multi-class classification problem is one ...