AI vs. ML cheat sheet
Ways to tell the commonly-confused terms apart
ARTIFICIAL INTELLIGENCE
Deals with computer systems performing
tasks with similar, equal, or superior
intelligence to that of a human
Learns from data to maximize machine
performance on tasks
Aim is to increase success over accuracy
Predominantly learns on its own based on
consumption and understanding of input
data
Needs human intervention to help it learn
and grow to human intelligence standards
Goal is to become indistinguishable
from humans by replicating knowledge,
mannerisms, and thought processes
Simulates human intelligence to solve
problems with near-human intelligence
Aim is to create accuracy despite success
Goal is to become superior to human
intelligence by means of having abilities
beyond that of human capacity
Focuses on studying algorithms,
statistical models, and pattern recognition
to help computer systems perform tasks
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MACHINE LEARNING
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