Most teachers (myself included) don’t want to rely on lectures and worksheets to do our jobs. The problem is that it’s time-intensive and difficult to plan for lots and lots of active learning, which ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

According to @godofprompt, a new AI prompt framework modeled on Richard Feynman’s teaching style enables users to learn complex topics up to ten times faster by breaking down concepts with analogies, ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Abstract: An important question in data-driven control is how to obtain an informative dataset. In this work, we consider the problem of effective data acquisition of an unknown linear system with ...

Associate Teaching Professor Cecil Joseph remembers the first time he taught physics in one of UMass Lowell’s Technology Enhanced Active Learning (TEAL) classrooms. Instead of facing rows of students ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.