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 ...
Chances are very high that you have never looked at your freezer and wondered, “Am I using that right?” We use most everyday items the way we found them being used, no questions asked. Because of this ...
Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...
Abstract: This paper's primary goal is to use machine learning techniques, specifically Logistic Regression and Decision Trees, to identify bogus news on social media. An innovative logistic model is ...
If old sci-fi shows are anything to go by, we're all using our computers wrong. We're still typing with our fingers, like cave people, instead of talking out loud the way the future was supposed to be ...
I would like to contribute a lightweight and optimized implementation of Horizontal Federated Logistic Regression (2025 optimized version) to this project. This implementation is tailored for ...
ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
(TNS) — As some patrol officers in the Twin Cities are starting to use artificial intelligence for composing their reports, the St. Paul Police Department isn’t yet taking the leap to the cutting-edge ...
In a recent 30-year study, nine out of 10 funds underperformed the S&P 500 index. These funds traded positions frequently, and that clue can lead investors to discover the secret to outperforming ...
Being more judicious in which AI models we use for tasks could potentially save 31.9 terawatt-hours of energy this year alone – equivalent to the output of five nuclear reactors. Tiago da Silva Barros ...
Package Python apps for easy delivery as executables, dig into Python 3.14's new debugging interface, and get live coding help for making sense of datasets. Want extra credit? Try wrangling Python ...