Step 1.1 – What AI and ML Really Are

Artificial Intelligence (AI)

AI is the broader concept of machines performing tasks in a way that mimics human intelligence. It includes rule-based systems, learning systems, natural language processing, computer vision, robotics, and more.

Machine Learning (ML)

ML is a subset of AI focused on learning from data. Instead of hardcoding rules, ML systems learn patterns from examples.

How ML Works

Collect Data: Examples of inputs and expected outputs
Train a Model: Feed the data to an algorithm
Test the Model: Evaluate performance on unseen data
Predict: Use the model to make decisions on new inputs

ML vs Traditional Programming

Traditional Programming	Machine Learning
You write rules	You provide data
Output is deterministic	Output is probabilistic
Hard to adapt	Learns and improves