A college degree can often feel unattainable due to financial barriers, but the D2 Promise Program in Harrison School District 2 is changing that narrative. This initiative allows graduates to ...

SoFiE Financial Machine Learning Summer School "Financial Machine Learning" July 28 – August 1, 2025 The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based ...

Before you offload your codebase to ChatGPT, read this. From security flaws to copyright nightmares, here's what the AI hype machine isn't telling you.

Where applicable, slopes for specific variables were calculated using the linear regression function within Python Scikit-learn (sklearn) linear model. Slopes were derived from baseline values and ...

We refer to this linear central tendency warped bias as the “systematic bias of machine learning regression”. In this paper, we first demonstrate that this systematic prediction bias persists across ...

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

Synopsis This work demonstrates a new approach to atmospheric inverse modeling of CO 2 emissions using Gaussian Process machine learning and modern probabilistic programming languages.

In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of pre-trained ...

Northwestern Engineering's Master of Science in Machine Learning and Data Science (MLDS) program welcomed its most diverse class of students to campus this fall. Students in the cohort hail from seven ...

Denny Carter goes deep into the Week 1 data to find players who ran hot or cold to kick off the season.