The Markov decision process (MDP) is a mathematical framework used for modeling the decision-making problems where the outcomes are partly random and controllable. Here’s what you need to know.
A deep convolutional neural network (DCNN) is a convolutional neural network (CNN) with multiple layers that is commonly used to analyze images. Here’s what to know.
Advancements in generative AI have made it possible to speed up the text data extraction process making it easier to analyze structured and unstructured data. Here’s how it works.
Singular value decomposition (SVD) is a matrix factorization method that generalizes the eigendecomposition of a square matrix to any matrix. Here’s how it works.
Power analysis is a process that involves evaluating a test’s statistical power to determine the necessary sample size for a hypothesis test. Learn more.
