Radio World

A Class on Predicting FM Radio Signals

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
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 ...
IEEE

Efficient Representations for High-Cardinality Categorical Variables in Machine Learning

Abstract: High-cardinality categorical variables pose significant challenges in machine learning, particularly in terms of computational efficiency and model interpretability. Traditional one-hot ...
IEEE

Gold Price Prediction Using Machine Learning and Deep Learning

Abstract: Volatility of gold prices has direct implications to the investors in Indonesia since it becomes very hard to identify the right time to invest in gold or when to sell the precious metal.
tech-critter.com

NVIDIA goes all out in making sure Google’s new Gemma 4 AI model works well in any machine that runs their hardware

Google’s latest cook in AI models are now fresh out of the oven, and they are the Gemma 4 series, built from the ground up to be compact, fast, and capable enough to run efficiently on-device across a ...
GitHub

SwinUNETR segmented six CTA regions (LA, LV, RA, RV, PVs, LAA); radiomic features were extracted, filtered by SelectKBest, and combined with clinical variables for machine ...

This repository contains a complete Python pipeline for 3D medical image segmentation, radiomics feature extraction, feature selection, and the construction of machine learning models to predict ...
GitHub

Bank-Customer-Churn-Prediction.csv

machine-learning / Regression / Bank-Customer-Churn-Prediction.csv We can't make this file beautiful and searchable because it's too large.