SVM and kNN exemplify several important trade-offs in machine learning (ML). SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set ...

Specialization: Intro to Statistical Learning Instructor: Osita Onyejeweke, Assistant ProfessorPrior knowledge needed: Intro Statistics and Foundational MathLearning Outcomes Understand the advantages ...

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 ...