The process of separating the foreground pixels from the background is called thresholding. There are many ways of achieving optimal thresholding and one of the…

Gradient descent is an optimization method used to find the minimum value of a function by iteratively updating the parameters of the function. Parameters refer…

Principal component analysis is a method used to reduce the number of dimensions in a dataset without losing much information. It’s used in many fields…

Previously we derived a simple linear regression modal for our Pizza price dataset. We built a modal that predicted a price of $13.68 for a 12 inch…

Simple linear regression is a statistical method you can use to study relationships between two continuous (quantitative) variables: independent variable (x) – also referred to as predictor…

Binomial distribution is used to understand the probability of a particular outcome in repeated independent trials. The probability of a trial is either success or failure. The…

A Poisson distribution is the probability distribution of independent occurrences in an interval. Poisson distribution is used for count-based distributions where these events happen with…

Markow chain is a probabilistic process used to predict the next step based on the probabilities of the existing related states. Its called a chain because…