BitWithBite
AI & Machine Learning Worksheet
🤖 Types of Machine Learning
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NameClassDate
After this worksheet you can
Supervised vs unsupervisedClassification vs regressionReinforcement learningPick the right type🧠 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
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✂ 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