AI Made Simple

Introduction to Supervised Machine Learning

Supervised machine learning is a subfield of machine learning (ML) that deals with…

Hierarchical Clustering

Hierarchical clustering is a family of clustering algorithms that build a hierarchy of clusters, allowing users to understand the data structure at various granularity levels.

There are two types of hierarchical clustering algorithms:

Decision Trees (Part 1)

Decision trees are a powerful and versatile machine learning model, which is based on simple decision rules that are…

A Gentle Introduction to Matrix Calculus

Including Applications in Machine Learning

Regularization in Machine Learning

Regularization is a widespread technique in machine learning, which is used to control the complexity of the machine learning model and thereby improve its generalization ability.

Introduction to Clustering

Clustering is an unsupervised learning technique that groups a set of objects such that objects in the same…

AdaBoost Illustrated

AdaBoost (short for Adaptive Boosting) is a powerful boosting algorithm that can boost the performance of any machine…

Generative vs. Discriminative Models

We have all heard about generative models lately. Their capabilities for generating text, images, audio and video have shown truly stunning results during the last year. But what generative models really are and how do they differ from other types of machine…