Machine learning models can accurately predict survival outcomes after surgery for upper tract urothelial cancer, offering a potential tool to guide post operative management and follow up intensity.

Abstract: Electroencephalogram (EEG) signals provide useful information for diagnosing sleep disorders such as restless legs syndrome, insomnia, snoring, and sleep hypoventilation. The use of an ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...

TL;DR: Valve's Steam Machine, a PC-console hybrid launching next year, targets 4K 60FPS but can output 4K at 120Hz via HDMI 2.0 with reduced color quality and no HDR. Equipped with DisplayPort 1.4, it ...

On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...

Machine Learning is a method of teaching computers to find patterns in data and make predictions without being explicitly programmed for every scenario. Think of it this way: Traditional programming: ...

Abstract: In this paper, we showcase the efficiency of machine learning (ML) algorithms to predict fractal antenna output response metrics. Radial basis function and least squared regression ...

🌸📊 A Streamlit ML app to classify Iris flowers 🌼 into Setosa, Versicolor, or Virginica using scikit-learn 🚀 ...