As a heat dome drives dangerous temperatures across much of the United States and renews concerns about extreme heat, USC ...
In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...
Abstract: Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. Since there are no obvious symptoms during the early stages of ...
Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
This repository contains our work for our project focused on applying machine learning classification models to e-commerce data. Specifically, we built a Random Forest classification model in order to ...
This is my capstone project for the Machine Learning Operations Zoomcamp, which is a free, online course offered by DataTalks.Club. Photo by Drahomír Hugo Posteby-Mach on Unsplash. The purpose of this ...
A library of open datasets for data analytics/machine learning compiled by HackerNoon. In 2022, Gartner named Microsoft Power BI the Business Intelligence and Analytics Platforms leader. With the aid ...
Abstract: In recent years, Explainable Artificial Intelligence (XAI) has attracted considerable attention from the research community, primarily focusing on elucidating the opaque decision-making ...
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