Etiket supervised learning

Machine Learning Basics

This module introduces the core ideas behind machine learning, explaining how machines learn from data without explicit programming. It covers key ML problem types, the training process, and real-world challenges like bias and overfitting. A great starting point for understanding how intelligent systems recognize patterns and improve over time.

How Does AI Learn?

Artificial intelligence learns not through memorization but by identifying patterns in data. This module explores the three main types of machine learning—supervised, unsupervised, and reinforcement—and explains how each allows AI systems to improve over time. Understanding these methods helps us grasp both AI’s power and its ethical challenges.