Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

In machine learning terminology, this is called regularization. Now here's where the difficulty of linear support vector regression arises ... common stochastic gradient descent (SGD) optimization ...

Support vector machines (SVMs ... of machine learning problems, and many algorithms for each kind of problem. These range in complexity from linear regression for numeric prediction to ...

What are machine learning algorithms ... techniques such as linear regression. Feature vectors combine all of the features for a single row into a numerical vector. Part of the art of choosing ...

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 ...