Machine Learning Simplified

Key Types and How They Work

Supervised Learning

01.

Trains models using labeled data to predict outcomes accurately.

Unsupervised Learning

02.

Analyzes unlabeled data to discover hidden patterns and relationships.

Semi-Supervised Learning

03.

Combines labeled and unlabeled data for improved learning efficiency.

Reinforcement Learning

04.

Teaches agents through trial and error, optimizing actions via rewards.

Classification

05.

A supervised method categorizing data into predefined classes.

Regression

06.

Predicts continuous values based on input features in supervised learning.

Clustering

07.

Groups similar data points in unsupervised learning for insights.