
Probability is a measure of the likelihood that a particular event will occur, quantified as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty. It is used to model uncertainty and make predictions about random events in various fields, including machine learning.

The chain rule is a fundamental theorem in calculus that provides a method for computing the derivative of a composite function. It allows us to understand how a change in one variable propagates through a series of dependent variables

The Gradient Descent algorithm has numerous variants, each developed to address specific issues or improve performance under certain conditions

Linear regression is a fundamental machine learning algorithm used to predict a continuous target variable based on one or more input features. PyTorch is a popular deep learning library that can be used to implement linear regression models efficiently.

Gradient Descent is an optimization algorithm used to minimize the loss function in machine learning and deep learning models. It is an iterative process that helps find the optimal parameters (weights) for a given model by minimizing the loss function.

Linear regression is one of the simplest and most widely used algorithms for predictive modeling. It models the relationship between a dependent (target) variable and one or more independent (input) variables by fitting a linear equation to the observed data

SVD is a powerful matrix factorization technique widely used in various fields such as statistics, signal processing, and machine learning. It decomposes a matrix into three other matrices, revealing the intrinsic properties of the original matrix

The gradient of the 2-norm (also known as the Euclidean norm) is a fundamental concept in vector calculus and optimization.

The vector 2-norm, also known as the Euclidean norm, is a measure of the length or magnitude of a vector in Euclidean space. It is widely used in various fields such as mathematics, physics, engineering, and computer science

Fiat payment gambling refers to gambling activities where players use traditional government-issued currencies (fiat money) such as US dollars, euros, yen, etc., to place bets, purchase credits, or participate in various forms of gambling
