Gradient Descent is one of the most used algorithms in Machine Learning and Deep Learning. It is an optimization algorithm used in training a model. In simple words, Gradient Descent finds the parameters that minimize the cost function (error in prediction). …

First of all, what is a Norm? In Linear Algebra, a Norm refers to the total length of all the vectors in a space. There are different ways to measure the magnitude of vectors, here are the most common: L0 Norm: It is actually not a norm. (See the conditions a norm must satisfy here). Corresponds to the total number of nonzero elements in a vector. For example, the L0 norm of the vectors (0,0) and…

Naive Bayes is one of the simplest yet reliable algorithms used in Machine Learning, particularly in Natural Language Processing (NLP) problems. Naive Bayes classifiers calculate the probability of a sample to be of a certain category, based on prior knowledge. They use the Naive Bayes Theorem, that assumes that the effect of a certain feature of a sample is independent of the other features. That means that each character of a…