Machine Learning Intro
📋 What it is
Machine learning finds patterns in data to make predictions — it LEARNS from examples instead of fixed rules.
🗣️ Coach says
Machine learning is a computer finding patterns for itself. Instead of being told every rule, it studies lots of examples (data!) and predicts new cases. More and better data usually means better predictions — data is the fuel.
🧠 Memory hook
ML = learn patterns from EXAMPLES (data) → predict new cases. Better data → better predictions.
😂 Giggle
What's a statistician's favorite kind of music?
Something with a good distribution of beats!
😲 Whoa!
The email spam filter is machine learning you use every day — it learned "spam vs not" from millions of labeled example emails.
✅ Quick check: How does a machine-learning system mainly learn to make predictions?
Say your answer out loud first — then reveal.
By finding patterns in lots of example data, not from hand-written rules.
ML learns from examples; the data is what it learns from.
🧪 Try it! (2 minutes)
Think of an app that predicts something (music, videos, spelling). Guess what DATA it learned from.