Tag: Machine Learning

Introduction to Anomaly Detection

Feature Engineering: Label Encoding & One-Hot Encoding

Treatments for Imbalanced Dataset

MSE vs MAE

MSE and MAE are commonly used measurement of model prediction.

Data Cleaning: Filter Records Base on Conditions

Feature Scaling in Machine Learning

Feature scaling stands for normalizing variable values into a certain range.

Gaussian Mixture Model

Hessian Matrix

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

K-means Clustering

Matrix Factorization

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