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Do Bayes/Kalman filters count as (super simplistic) A.I. somehow?


Yes.

The only reason why machine learning was not called AI, is because funding for research into AI dried up in the AI winter.

Recently Google decided to revive the AI term, and here we are.


It always bugs me when people throw AI buzzword around when they are talking about machine learning.


Nah, it doesn't count. Unless you are a buzzword person.

AI is data science but not all data science is AI.


They aren't. Marketing makes them AI though, but they aren't.

Just the same way folks think they have 'big data'.


AI effect maybe?

"As soon as AI successfully solves a problem, the problem is no longer a part of AI."

https://en.wikipedia.org/wiki/AI_effect

This attitude I encountered already on HN: "By discounting artificial intelligence people can continue to feel unique and special."


I found this a nice way to communicate the difference between AI, ML and Data Science [0].

TL;DR

AI produces actions

ML produces predictions

Data Science produces insights

[0] http://varianceexplained.org/r/ds-ml-ai/


Well, I would say there is not much difference... but AI, sounds much more PR


Isn’t an action just the highest probability of a set of actions per given time though?


There's a chapter on Bayesian stuff (maybe more, the book is at home) in "AI a Modern Approach" so I'd say the answer is yes. I remember it vividly because they use a dentist/toothache example :P

I know "it's in AIAMA" is hardly a formal definition but it's good enough for me.




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