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).
Haha, we used to call it Wikipedia Racing.
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.
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…
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…
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.
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).
Haha, we used to call it Wikipedia Racing.
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.
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…
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…
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.