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AI & Machine Learning Worksheet

🤖 Types of Machine Learning

Chapter: AI & Machine Learning · Level ★★☆ · Time: 30 min
SCORE___ / 20
NameClassDate
After this worksheet you can
Supervised vs unsupervisedClassification vs regressionReinforcement learningPick the right type
📚 Quick Recap

Before you write a single line of code, every machine learning problem starts with one question: what kind of information do you actually have, and what are you trying to do with it? The answer sorts your problem into one of a small number of categories, and that category determines which entire family of techniques applies. Get this categorization wrong, and you'll waste time forcing the wrong tool at a problem — this is one of the most common mistakes beginners make.

🧠 Section A · Concept Check ● BEGINNER 4 × 1 = 4

1Learning from labelled examples is:
2Finding clusters without labels is:
3Predicting a price (number) is:
4Learning by reward/penalty is:

🧮 Section B · Problem Solving ● INTERMEDIATE 2 + 3×3 = 11

5Spam vs not-spam is (a class label).
6House-price prediction outputs a continuous .
7Classify: predicting churn yes/no; grouping songs; game-playing bot.
8Classification vs regression in one line?
9Why is labelled data expensive?

🚀 Section C · Challenge ● CHALLENGE 5

10Give one RL real-world use.
💭 Reflection — the most useful thing I learned:
A ___/4   B ___/11   C ___/5   Total ___/20 Teacher's Signature Parent's Signature
✂ answer key — fold or cut before handing out

1-A   2-A   3-A   4-A  |  5 classification   6 number/value   7 = Supervised classification; unsupervised clustering; reinforcement   8 = Class label vs continuous number   9 = Humans must annotate it accurately  |  10 = Robotics control, game AI, ad bidding, recommendation exploration

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⬇ Worksheet PDF 🗒 Cheat Sheet