Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

The core argument of the paper is that what counts as misinformation is not an objective fact but a relative judgment ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. Proteomics ...

Concepts and algorithms of machine learning including version-spaces, decision trees, instance-based learning, networks, evolutionary computation, Bayesian learning and reinforcement learning.