Extensive experience with linear algebra is a must-have—machine learning algorithms ... mathematics. You’ll get into topics such as regression, dimensionality reduction, support vector ...

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 ...

including suport vector machines and logistic regression, solved using stochastic gradient descent. The convergence proof for the Perceptron algorithm is one of the most elegant pieces of math I ...

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 ...