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Tutorial: Vector Addition and Scalar Multiplication Category: Linear Algebra Overview In linear algebra, vectors are mathematical objects that have both magnitude and direction. They can be added together and multiplied by scalars (real numbers) to form new vectors. These operations are essential for understanding linear transformations, matrices, and many other concepts in linear algebra. Vector…

Are you ready to dive into the fascinating world of Long Short-Term Memory (LSTM) neural networks? 🤔 Well, buckle up, my friend, because we’re about to embark on a thrilling journey through the realm of machine learning! 🚀 LSTMs are a type of Recurrent Neural Network (RNN) that have revolutionized the field of natural language…

Linear regression is a fundamental algorithm in machine learning, used for predicting a continuous outcome variable (also called the dependent variable) based on one or more predictor variables (also known as independent variables). The Mathematics Behind Linear Regression The basic idea of linear regression is to fit a line to a set of points. So,…

Backpropagation is an algorithm used to train artificial neural networks. It works by iteratively adjusting the weights of the connections between neurons in the network to minimize the error between the network’s predictions and the desired outputs. Here’s a breakdown of the process: Forward Pass: An input is fed into the network, and it propagates…