# Introduction to Anomaly Detection

Anomaly Detection (a.k.a **Outlier Detection**) is a process of detecting unexpected observations in specified datasets.

Anomaly Detection (a.k.a **Outlier Detection**) is a process of detecting unexpected observations in specified datasets.

MSE stands for **mean squared error**, **MAE** stands for **mean absolute error**. These are commonly used measurement in modelling.

In mathematics, the Hessian matrix or **Hessian** is a square matrix of second-order partial derivatives of a scalar-valued function, or scalar field. It describes the local curvature of a function of many variables. Hessian Matrices are often used in optimization problems within Newton-Raphson's method.

Matrix factorization is a class of algorithms used for recommendation systems in machine learning. Matrix factorization algorithms work by decomposing dimensionality. Commonly known matrix factorization algorithms are SVD and PCA.

Having math equations in a report can be painful. Here are some LaTeX commands often used in scientific reports. I will try to keep this post updated.