BitWithBite
AI & Machine Learning Worksheet
🤖 AI vs ML vs Deep Learning
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Define AI, ML, DL and data scienceSee how they nestGive examples of eachSpot ML vs rule-based systems📚 Quick Recap
Open any tech news article and you'll see “AI,” “machine learning,” “deep learning,” and “data science” used as if they're interchangeable. They're not. They're nested inside each other, like Russian dolls — and knowing exactly where one ends and the next begins will save you from a lot of confusing job postings, course descriptions, and conversations.
🧠 Section A · Concept Check ● BEGINNER 4 × 1 = 4
1The broadest field is:
2ML systems learn from:
3Deep learning is built on:
4A spam filter that improves with examples is:
🧮 Section B · Problem Solving ● INTERMEDIATE 2 + 3×3 = 11
5DL is a subset of ML, which is a subset of .
6ML learns patterns from instead of explicit rules.
7Draw the nesting: AI, ML, DL.
8Give one example each of AI, ML, DL.
9Rules vs learning in one line?
🚀 Section C · Challenge ● CHALLENGE 5
10Is every AI system ML?
💭 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 AI 6 data 7 = AI contains ML contains DL (concentric circles) 8 = AI: chess engine; ML: spam filter; DL: image recognition 9 = Rules are written by humans; learning extracts them from data | 10 = No - classic rule-based AI is not ML