I think he was referring to the author saying Haskell would be his choice for machine learning: "I don't do a lot of artificial intelligence, natural-language processing or machine-learning research, but if I did, Haskell would be my first pick there too." In the real world, python dominates the machine learning space.
> Suffice it to say no one has really explored doing ML in an ML. :)
Learned Standard ML in college. Never did anything with it in the corporate and don't know anyone who has either. Though I think it is something everyone should learn. One thing I agree with the author: "Standard ML was the first functional language I learned well, so I still remember being shocked by its expressiveness." If you come from C/C++/Java/etc world, just pattern matching by itself is mind-blowing.
Ok, that’s just weird and comes completely out of left field. I just saw ML and assumed it was a reference to the language since Haskell couldn’t possibly be useful in machine learning. Alas, it’s in the second sentence.
> Suffice it to say no one has really explored doing ML in an ML. :)
Learned Standard ML in college. Never did anything with it in the corporate and don't know anyone who has either. Though I think it is something everyone should learn. One thing I agree with the author: "Standard ML was the first functional language I learned well, so I still remember being shocked by its expressiveness." If you come from C/C++/Java/etc world, just pattern matching by itself is mind-blowing.