Abstract: Shuffled linear regression (SLR) seeks to estimate latent features through a linear transformation, complicated by unknown permutations in the measurement dimensions. This problem extends ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

Abstract: In this study, we investigate regression prediction schemes and apply them to planning as an extension to predicting future outcomes of projects using Monte Carlo simulations. Project ...

This project was developed alongside the Google Advanced Data Analytics course and focuses on practical implementation of linear regression. Leveraging the dataset and methodologies introduced in the ...

ABSTRACT: Accurate forecasting of the system marginal price (SMP) is crucial to improve demand-side management and optimize power generation scheduling. However, predicting the SMP is challenging due ...

In 2024, the Oregon Ducks had one of the best football seasons in program history, going 13-0 in the regular season with a win in the Big Ten championship as first-year members of the league. While ...

Cambridge was blocked Wednesday from work on the Alewife Linear Park Reconstruction Project by a temporary restraining order issued in state court. Residents asked for the order after noticing several ...