The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

Course TopicsClassification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used ...

When training a logistic regression model, there are many optimization algorithms that can be used, such as stochastic gradient descent (SGD), iterated Newton-Raphson, Nelder-Mead and L-BFGS. This ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! In this course, you will learn how to: Express why Statistical Learning is important and how it can ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

A solid coverage of the most important parts of the theory and application of regression models, and generalised linear models. Multiple regression and regression diagnostics. Generalised linear ...