Submitted by Valachio t3_10ack6h in MachineLearning
hoffmanmclaunsky t1_j46ilb6 wrote
Reply to comment by noptamoius in [D] Has ML become synonymous with AI? by Valachio
Generally speaking it is more a concept. “Machine Learning” is the more rigorously defined subject. Machine learning specifically means iteratively modifying a model using training data, then applying that model to real world data. AI is a bit more of a nebulous concept, but generally speaking it's just using some search algorithm with heuristics to make the search more "intelligent".
sabertoothedhedgehog t1_j46x3zu wrote
>AI is a bit more of a nebulous concept, but generally speaking it's just using some search algorithm with heuristics to make the search more "intelligent".
No. Just no.
AI is the vision / effort / field of study that deals with replicating (human) intelligence.
hoffmanmclaunsky t1_j46zaf3 wrote
Is this something you've studied at a university? I only took a few AI/ML classes at uni so I'm not going to pretend to be an expert.
In any case "field of study that deals with replicating intelligence" isn't exactly a rigorous definition. Really that description speaks to how broad and nebulous it is.
sabertoothedhedgehog t1_j4701ft wrote
Yes. My PhD was on applied ML. My current day job is at a center for AI. There are many people dimensions smarter than me -- but AI is all I deal with every day.
The reason for the nebulous concept is that intelligence is hard to define. Thus, in the past it was often defined by relating it back to human intelligence, e.g. "automating tasks that would require human intelligence to solve" and even the Turing Test.
But there are harder definitions of intelligence, such as Francois Chollet's paper.
It is definitely NOT correct to say << [AI] is just using some search algorithm with heuristics to make the search more "intelligent">>.
AI covers way more and goes far beyond search.
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