At the Brains, Minds, and Machines symposium held during MIT's 150th birthday party, Technology Review reports that Prof. Noam Chomsky derided researchers in machine learning who use purely statistical methods to produce behavior that mimics something in the world, but who don't try to understand the meaning of that behavior. The transcript is now available, so let's quote Chomsky himself: It's true there's been a lot of work on trying to apply statistical models to various linguistic problems. I think there have been some successes, but a lot of failures. There is a notion of success ... which I think is novel in the history of science. It interprets success as approximating unanalyzed data.
CITATION STYLE
Norvig, P. (2017). On Chomsky and the Two Cultures of Statistical Learning. In Berechenbarkeit der Welt? (pp. 61–83). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-12153-2_3
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