ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

Citation: Regression approach outperforms ML algorithms in predicting optimal surgical method in submucosal tumor patients (2024, February 28) retrieved 15 May 2025 from https://medicalxpress.com ...

Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...

Machine learning algorithms learn from data to solve problems that are too complex ... Decision Tree, Logistic Regression, K-Nearest Neighbors, and Support Vector Machine (SVM). You can also ...

He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes. They can come in handy for analyzing text, images ...