AI, machine learning (ML) और deep learning आपस में संबंधित हैं लेकिन अलग-अलग हैं — ये nested concepts बनाते हैं, जहाँ deep learning, ML का एक subset है, और ML, AI का एक subset है। इनके संबंध को समझना इस क्षेत्र को स्पष्ट करता है।
The nested relationship
AI (Artificial Intelligence) → the broadest: machines performing tasks that require
human-like intelligence (reasoning, learning, perception, decision-making)
└─ MACHINE LEARNING (ML) → a subset: systems that LEARN from DATA (improve at a task
from examples) rather than being explicitly programmed with rules
└─ DEEP LEARNING → a subset of ML: uses multi-layered NEURAL NETWORKS to learn
complex patterns (powers modern AI: vision, language, etc.)
→ AI ⊃ ML ⊃ Deep Learning (each is a more specific subset)
