Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Deep Learning with Yacine on MSN

How to implement stochastic gradient descent with momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
Oneindia

Building Resilient Finance Systems With Zero Downtime And Maximum Security

Explore how Sai Vamsi Kiran Gummadi is transforming financial systems for zero downtime and enhanced security through ...
The Lancet

Machine-learning-derived online prediction models of outcomes for patients with cholelithiasis-induced acute cholangitis: development and validation in two retrospective cohorts

SD, standard deviation; IQR, inter-quartile range; ICU, intensive care unit; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin concentration; MCV ...
Reader's Digest

“Home In” vs. “Hone In”: What’s the Difference?

Puzzling over the commonly confused "home in" vs. "hone in"? With our grammar guidance, you can home in on the correct usage. If your boss asks you to hone in on the best spot for a new retail outlet, ...
IEEE

Evaluation of CatBoost for Diabetes Prevention in Comparison to XGBoost: To avert mortality by developing an AI model capable of predicting the onset of diabetes

Abstract: Diabetes is a metabolic condition defined by consistently elevated blood glucose levels. Hyperglycemia is characterized by heightened hunger, thirst, and urination. Numerous consequences may ...
Visual Studio Magazine

Gradient Boosting Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...
marktechpost

Beyond Deep Learning: Evaluating and Enhancing Model Performance for Tabular Data with XGBoost and Ensembles

In solving real-world data science problems, model selection is crucial. Tree ensemble models like XGBoost are traditionally favored for classification and regression for tabular data. Despite their ...