Predictive Modeling in Higher Education

How To Cheat at Predictions, Part 4: Predicting Enrollments Using Prospects

How To Cheat at Predictions, Part 4: Predicting Enrollments Using Prospects

Welcome to the grand finale of “How To Cheat at Predictions,” a series that sprang out of a lively conversation among Capture Higher Ed’s data…

How To Cheat at Predictions, Part 3: Predicting Closer To the Target Date

How To Cheat at Predictions, Part 3: Predicting Closer To the Target Date

This is the third installment of “How To Cheat at Predictions,” a look at four ways Capture Higher Ed’s competitors make their predictive models look…

How To Cheat at Predictions, Part 2: Training and Testing A Model With the Same Data

How To Cheat at Predictions, Part 2: Training and Testing A Model With the Same Data

Welcome to Part 2 of a four-part series we’re calling “How To Cheat at Predictions.” So, your predictive model isn’t as accurate as Capture Higher…

How To Cheat at Predictions, Part 1: Using Leakers

How To Cheat at Predictions, Part 1: Using Leakers

When Capture Higher Ed’s data science team mingles with the company’s sales force, sparks fly … mostly in a good way. During a recent meeting,…

Envision A One … With 340 Zeros To the Right

Envision A One … With 340 Zeros To the Right

On the Weightlist, Capture Higher Ed’s podcast about new technologies and enrollment management, data scientists Thom Golden and Brad Weiner often highlight different numbers that…

Introducing Envision: Next Generation Predictive Modeling for Colleges

Introducing Envision: Next Generation Predictive Modeling for Colleges

Multiple machine-learning algorithms … Rapid iteration … More accurate predictions ... Smarter decisions … With Envision, Capture Higher Ed has released higher education’s first ensemble…

Mastering the New Science of Enrollment Prediction

Mastering the New Science of Enrollment Prediction

Conventional predictive modeling can no longer keep pace with the demands of today’s enrollment managers. New ideas and technologies are crucial ... and have never…

Capture Book Club: What We’re Reading, Vol. 3

Capture Book Club: What We’re Reading, Vol. 3

Welcome back to Capture Book Club, an adventure in reading that focuses on inquiry, curiosity, data and anything connecting different aspects of life that would otherwise…

Machine Learning: Three Things You Should Know

Machine Learning: Three Things You Should Know

It’s not monolithic. It has strong advantages as well as important drawbacks. It will have major implications for what products will look like in the…

Capture Book Club: What We’re Reading, Vol. 2

Capture Book Club: What We’re Reading, Vol. 2

In its second installment, Capture Book Club again focuses on books about inquiry, curiosity, data and anything connecting different aspects of life that would otherwise…