qqqwwweeerrr

4 ms·

1.
by qqqwwweeerrr 3y ago
Unless you are strictly talking about predictive modeling, I would disagree with this. PCA just tries to represent N-dimensional observations in a k < N dimensional subspace (for a given k) such that it captures the most variation. This
2.
by qqqwwweeerrr 4y ago
This is awesome. I'd be really interested to find out if a Raspberry Pi can run an open source amp modeler like NAM ( https://github.com/sdatkinson/neural-amp-modeler ).
3.
by qqqwwweeerrr 4y ago
Haha, we used to call it Wikipedia Racing.
4.
by qqqwwweeerrr 4y ago
I never claimed that everyone wants to claim AI for themselves. Artificial intelligence is ofcourse a scientific field on it's own right, even before machine learning was a thing. I'm just saying that AI scientists have used conce
5.
by qqqwwweeerrr 4y ago
The subject matter in the book is more general than focussing on a specific models; the book is about the statistical underpinnings of ML as a whole.
6.
by qqqwwweeerrr 4y ago
In my opinion (MSc math, PhD in applied statistics, currently postdoc at epidemiology department), the fundamentals are books like The Elements of Statistical Learning: https://hastie.su.domains/Papers/ESLII.pdf I feel
7.
by qqqwwweeerrr 5y ago
I hear the complaint that R is a terrible language mainly from professional programmers. I'm sure it is poorly designed from a computer science perspective, but there is no programming language out there which makes it so easy to run a
8.
by qqqwwweeerrr 8y ago
I feel somewhat embarassed to talk about this, but does anyone else feel a sense of dread and depression when reading news like this? I can't seem to shake it and it's quite strongly affecting my worldview.