Statistical Theory

Random Picks

• Supervised Training: Supervised training is a machine learning technique where an algorithm learns from labeled data to make predictions or decisions on new, unseen data. In supervised training, the algorithm is trained on a dataset where the input data is labe ... Read More >>
• Acquisition Function: In Bayesian optimization, an acquisition function is a function that maps the posterior distribution of the objective function to a real number. The acquisition function is used to determine the next point at which to evaluate the objective ... Read More >>
• Random Variation: Random variation refers to the natural variation that occurs in data due to chance. In data science, random variation is often encountered when analyzing data sets and can be a source of noise that can obscure underlying patterns or trends. ... Read More >>