use parametric in a sentence.
Ad hoc polymorphism ∈ OOPParametric polymorphism ∈ FP
Is this the same as non-parametric learning?
Only few methods such as K nearest neighbors are non parametric, rest all methods such as SVM's, decision trees are all parametric.
Ah I didn't know that there were some special /slashtags, this is even a parametric slashtag...
For the same reason, it's "machine learning" rather than "non parametric statistics".
The non-parametric stats functions in R are better than Py
Might you be interested in a dash of parametric polymorphism for type safety?
Go doesn't have parametric polymorphism.
Bah, if they were explicit, they wouldn't be nearly as useful for parametric polymorphism.
Since Haskell is statically typed, I think it's a feature, not a bug, that type parametricity is implemented at compile time.
Also, I think what you're describing is the difference between parametric polymorphism and ad-hoc polymorphism.
I am not even sure what implementing it for a parametric type means...
Languages like SML and OCaml are pretty clean, pretty simple and have an awesome parametric polymorphism system.
No, non-parametric learning is an unrelated topic, which seeks to estimate probability distributions without using "parametric" (= having known structure) models.
BTW, Haskell only has (bounded) parametric polymorphism.
EDIT: Take a look at this article, which explores developing a library that adds runtime-checked type parametric functions.
Can you recommend a book on advanced statistical techniques or non-parametric statistics that's written mostly in English with a minimum of jargon?