Machine learning blogs

Anomaly/outlier detection

Anomalies are defined as events that deviate from the standard; they occur rarely and do not follow the established pattern.

Classification

Classification is supervised learning algorithm, where the model learns from a training…

Clustering

Clustering is unsupervised machine learning for not having a target variable or class label. Clustering takes unlabeled data as…

Linear and non-linear regression

Regression is supervised learning algorithm, for each input has a corresponding…

Probability theory and random variables

Probability theory analyzes random events and quantifies the likelihood of various outcomes. To understand probability theory, first, we need to define some terms: