AI · Theory

Approaches of Artificial Intelligence

Theory

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Approaches of Artificial Intelligence

AI approaches: symbolic (rules, logic), statistical / ML (learn from data), hybrid. Old expert systems were symbolic. Modern vision/NLP are mostly statistical. Hybrids put a net in front and rules after (or retrieval + LLM).

Say which approach fits a problem — tax rules → symbolic. Cat vs dog photos → ML.

Output — idea / do / check for Approaches of Artificial Intelligence. Fill those three in the viva.

Exam tip

One problem for each approach.

Example

# Approaches of Artificial Intelligence
print("idea :", "Approaches of Artificial Intelligence")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Approaches of Artificial Intelligence. Fill those three in the viva.

Short notes

DefSymbolic vs statistical vs hybrid.

AI · Theory

Approaches of Artificial Intelligence

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Theory

71/215

Approaches of Artificial Intelligence

Say which approach fits a problem — tax rules → symbolic. Cat vs dog photos → ML.

Output — idea / do / check for Approaches of Artificial Intelligence. Fill those three in the viva.

Exam tip

One problem for each approach.

Example

# Approaches of Artificial Intelligence
print("idea :", "Approaches of Artificial Intelligence")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Approaches of Artificial Intelligence. Fill those three in the viva.

Short notes

DefSymbolic vs statistical vs hybrid.

Approaches of Artificial Intelligence

Example

Short notes

Questions

Approaches of Artificial Intelligence

Example

Short notes

Questions