and linear support vector regression (linear SVR). This article presents a demo of linear SVR, implemented from scratch, using the C# language, with an evolutionary training algorithm. A good way to ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

the most common algorithms are Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, and Support Vector Machine (SVM). You can also use ensemble methods (combinations of models ...

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 ...