Machine Learning

noreply@example.com (AG Sayyed) — Thu, 10 Jul 2025 21:52:15 +0000

This document explores the fundamentals of machine learning, including how ML models are built, the differences from traditional algorithms, and the main types of learning: supervised, unsupervised, and reinforcement. Real-world examples illustrate how ML is used for prediction, classification, and pattern recognition.

Introduction

Machine learning (ML) is a subset of artificial intelligence that uses computer algorithms to analyze data and make intelligent decisions based on what it has learned. Unlike rules-based algorithms, ML builds models to classify and predict outcomes from data, enabling autonomous problem-solving.

Supervised-Learning on Ghafoor's Personal Blog

Machine Learning

Introduction