Everyone has heard the phrase machine learning, but few can say what it actually means. This course clears that up in plain language — no maths, no code, no jargon — using everyday examples like spam filters, product recommendations, and house prices.
You will learn how machine learning differs from ordinary programming, the three main types and when each is used, and the workflow every project follows: data, features and labels, and the all-important train/test split. By the end you will understand what people mean when they talk about ML — and be ready to go deeper with confidence.