Webinar: Modern Regression Modeling for Voter MicroTargeting, Sep 14, Sep 21
Join us for a special 2-part webinar about voting trends, and we will show how machine learning models and data science can be used in elections.
Salford Systems 2-part Webinar:
Part 1: Linear Regression and MARS™ (Multivariate Adaptive Regression Splines) software which is an extension of linear models that automatically model nonlinearities and interactions between variables
Sep 14, 10am PT, 1pm ET
Part 2: TreeNet® Gradient Boosting software and RandomForests® software
Sep 21, 10am PT, 1pm ET
Join us for a special 2-part webinar about voting trends, presented by our resident data scientist, Christian Kendall. In this webinar we will show how machine learning models and data science can be used in today's election climate.
We will cover:
Part 1: Linear Regression and MARS™ (Multivariate Adaptive Regression Splines) software which is an extension of linear models that automatically model nonlinearities and interactions between variables
Sep 14, 10am PT, 1pm ET
Part 2: TreeNet® Gradient Boosting software and RandomForests® software
Sep 21, 10am PT, 1pm ET
Join us for a special 2-part webinar about voting trends, presented by our resident data scientist, Christian Kendall. In this webinar we will show how machine learning models and data science can be used in today's election climate.
We will cover:
- How data science is used in modern campaigns
- Regression and predictive analytics for microtargeting
- Identifying demographic trends through machine learning
- Gaining new insights by using data mining on polls and election data
- Understanding affects on voting behavior while making predictions
