Subsets of AI — AI Technical Interview Questions & Answers

Subsets of AI

Subsets of AI

  • AI ⊃ ML ⊃ DL is the usual picture. AI also includes search, logic, planning, robotics without any neural net. ML learns from data. DL uses deep nets. NLP, vision, RL sit across these. Generative models are a current DL/NLP slice.
  • Trap: “AI means neural networks only”. Search and expert systems are still AI.
  • Output: idea / do / check for Subsets of AI. Fill those three in the viva.
     AI
      └── ML
           └── DL
  (+ search, logic, robotics)

Technical Interview Tip: Draw the three nested circles + one outsider (search).

Code Examples for Subsets of AI

Example

# Subsets of AI
print("idea :", "Subsets of AI")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Subsets of AI. Fill those three in the viva.

How to Explain Subsets of AI to an Interviewer

Explain Subsets as if you are teaching a junior — definition, then one example.

AI ⊃ ML ⊃ DL Search/logic also AI

What does the example print, and what does that prove?

idea / do / check for Subsets of AI

What mistake do freshers make with Subsets?

Only the buzzword, no example