AISchool

AISchool

Introduction to Q Learning

Section 1: Introduction to Q-Learning Q-Learning is a fundamental reinforcement learning algorithm in artificial intelligence that enables an agent to learn optimal decision-making through trial and error interactions with its environment. Developed by Christopher JCH Watkins in 1989, Q-Learning has…

Reinforcement Learning: A Beginner’s Guide

reinforcement Learnin ai school

Introduction to Reinforcement Learning Reinforcement learning (RL) is a powerful branch of machine learning that has gained significant attention in recent years. Unlike supervised and unsupervised learning, RL focuses on learning through interaction with an environment. In this paradigm, an…

Introduction to K-Means Clustering

k-means clustering

In the vast realm of machine learning, K-means clustering stands out as a fundamental unsupervised learning algorithm. Its simplicity and effectiveness have made it a go-to choice for data scientists and analysts alike. In this comprehensive blog post, we’ll dive…