Hosted on MSN

Coursera's 2026 AI Showdown: Which Path Delivers Real Skills and Best Deals?

If you've been scrolling through Coursera's 500+ AI courses feeling overwhelmed, you're not alone—but the platform's 2026 updates have made the choice clearer than ever. With new professional ...
Forbes

How Starbucks Is Using Data And AI To Deliver Joy And Connection To Its Customers

Forbes contributors publish independent expert analyses and insights. Randy Bean is a noted Senior Advisor, Author, Speaker, Founder, & CEO. How does a venerable American brand known for creating the ...
Hosted on MSN

Mastering linear algebra with Python tools

Python’s rich ecosystem of libraries like NumPy and SciPy makes it easier than ever to work with vectors, matrices, and linear systems. Whether you’re calculating determinants, solving equations, or ...
IEEE

Predicting Social Media Virality Using Stacking Ensemble with Random Forest, XGBoost and Logistic Regression

Abstract: The research investigates predicting the virality of content on social media platforms using a stacking ensemble model with Random Forest, XGBoost, and Logistic Regression. Social media ...
IEEE

Machine Learning-Based Logistic Regression with Hybrid Loss Function for Enhanced Spectrum Sensing

Abstract: In the field of radio technology, the scarcity of spectrum resources has become increasingly severe, while demands for higher accuracy and speed in spectrum sensing technologies continue to ...
Frontiers

Integrating epidemiologic modeling and explainable machine learning to evaluate body roundness index for WHO-defined high cardiovascular risk: evidence from the ChinaHEART ...

Efficient identification of individuals at high cardiovascular disease (CVD) risk is essential for prevention in middle-aged and older adults. The body roundness index (BRI), derived from waist ...
Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
GitHub

Ransomware Detection Using Static Machine Learning Features

This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...