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  • 1.1 Demystifying the AI Taxonomies
  • 1.2 Supervised vs Unsupervised vs Reinforcement Learning
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Module 1: AI, Machine Learning & Deep Learning Taxonomies•Lesson 1

1.1 Demystifying the AI Taxonomies

### The Hierarchy of Modern AI
* **Artificial Intelligence (AI):** The overarching field of building computing systems capable of performing tasks normally requiring human intelligence.
* **Machine Learning (ML):** A mathematical subset where models learn representations from training data instead of being explicitly programmed with rule trees.
* **Deep Learning (DL):** A sub-field using multi-layer artificial neural networks inspired by biological neuroscience.

example.pyPython 3.11
taxonomy = ["AI", "Machine Learning", "Deep Learning"]
print(" -> ".join(taxonomy))
Python 3.11
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Interactive Challenge
+40 XP
Challenge Objective

Print the progression string 'AI -> ML -> DL' to confirm the taxonomy hierarchy.

solution.py
UTF-84 SpacesAuto-saved
cpython3.11:~/workspace
CPython 3.11.8 (WASM)
$python3 -u solution.py
Click "Compile & Run" (or press Ctrl + Enter) to compile AST, verify bytecode, and execute the solution.