Machine learning algorithms, like logistic regression and support vector machines, are designed for two-class (binary) classification problems. As such, these algorithms must either be modif... Read more

What are the Benefits of Ensemble Methods for Machine Learning? Ensembles are predictive models that combine predictions from two or more other models. Ensemble learning methods are popular... Read more

Many decisions we make in life are based on the opinions of multiple other people. This includes choosing a book to read based on reviews, choosing a course of action based on the advice of... Read more

Ensemble learning involves combining the predictions from multiple machine learning models. The effect can be both improved predictive performance and lower variance of the predictions made... Read more

Softmax is a mathematical function that converts a vector of numbers into a vector of probabilities, where the probabilities of each value are proportional to the relative scale of each valu... Read more

Regression is a modeling task that involves predicting a numeric value given an input. Linear regression is the standard algorithm for regression that assumes a linear relationship between i... Read more

Nearest Centroids is a linear classification machine learning algorithm. It involves predicting a class label for new examples based on which class-based centroid the example is closest to f... Read more

Regression is a modeling task that involves predicting a numeric value given an input. Linear regression is the standard algorithm for regression that assumes a linear relationship between i... Read more

Regression is a modeling task that involves predicting a numeric value given an input. Linear regression is the standard algorithm for regression that assumes a linear relationship between i... Read more