Submitted by Valachio t3_10ack6h in MachineLearning
Red-Portal t1_j43wds7 wrote
You'll have a hard time finding non-ML approaches to AI, but there are still plenty of non-AI applications of ML. For example, classical topics like kernel methods, learning theory, optimization, all ML topics that are not-so AI flavored.
sabertoothedhedgehog t1_j44ft8i wrote
Your statement only makes sense if one's mental model is not a Venn diagram of concentric circles: AI > ML > Deep Learning.
sabertoothedhedgehog t1_j44kct1 wrote
(Which is OK. Sebastian Raschka, for example, has this view that AI and ML are not concentric circles but merely overlapping. He thinks a cat vs. dog classifier is so narrow, it is not aiming for the larger vision of AI. Fair.)
Smallpaul t1_j46hv6v wrote
I think marketers have really influenced the definitions. Calling a linear regression house price estimator "AI" seems like a stretch unless you're trying to get venture capitalists excited. But today, most business people probably will.
Is the Amazon product recommender system "AI"? Is it ML?
sabertoothedhedgehog t1_j46i4j6 wrote
I agree.
I still resist though and do not say that "I have developed an AI that does xyz" but say that "I developed a predictive ML model that does xyz".
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