Understanding Supervised and Unsupervised Learning in Machine Learning

Guided Learning vs. Autonomous Discovery: Unveiling the Contrasts Between Supervised and Unsupervised Machine Learning

Introduction

In this article, we’ll embark on a journey to demystify the world of machine learning by exploring the fundamental concepts of supervised and unsupervised learning. Let’s dive right in.

Supervised Learning: Guiding Machines with Labeled Data

Supervised learning, as the name suggests, involves guiding a machine learning model with a structured approach. Imagine you’re not supervising a person, but rather supervising a machine learning model capable of classifying data into predefined regions.

Teaching the Model

To guide this model, we teach it using labeled data — a dataset where each data point is accompanied by its corresponding class label or category. This labeled dataset acts as a blueprint for the model to learn from.

Attributes and Features

In a labeled dataset, you encounter attributes — such as columns name — which represent specific characteristics of the data…