Learner Discussions
Connect with other learners by posting your questions, sharing ideas, and getting involved in a discussion.
Okay, so this is one of the questions under the Knowledge Check for the Working Smart section, and I believe the way the question is worded, there is no correct answer here. Am I correct? The answer states it should be "Machine Learning is a sub-field of AI," which I believe is correct, but the answer provided below says "AI is a sub-field of Machine Learning, which I believe is incorrect. So the question (and answers provided) is incorrect, right?
1 incorrect,
- AI can be automated and self learning continuously, like Tesla's FSD...
2 incorrect,
- As per below explanations
3 correct,
- A child learns the difference by seeing many examples, so does AI with thousands of cat and dog images, updating weights or belief probabilities...
4 correct,
- AI improves in terms of model architectures, GPU, TPU usage, new and different sets of data use like lidar etc...
2 is incorrect because;
Intelligence can emerge from systems that are not mechanical or electronic.
For eg. collective decision-making systems like voting, parliaments, markets, or even fungi networks can behave like forms of artificial (non-biological) intelligence, hence machine intelligence is a subfield of AI...
Categories of Human-Like Non-ML Intelligence
"course says ML, not AI, is what simulates learning and thinking like a human." dead wrong...
especially without decision making, error tracking, minimization of errors with optimization and continuous learning we cannot talk about intelligence, learning and thinking like humans...
Genetic, ant colony, dynamic programming, game theory are not part of ML but OR...
