23 ms·

The responses confuse "machine learning" with neural networks so far as I can see. I do lots of statsy things: good luck with that outside of R.

jiggunjer 5y ago
Even professors doing trendy "AI" research conflate the two terms.
- dagw 5y ago
  Even professors doing trendy "AI" research conflate the two terms. Only because doing "AI" gets you bigger grants.
  - kgwgk 5y ago
    Tibshirani's Glossary Machine learning Statistics network, graphs model weights parameters learning fitting generalization test set performance supervised learning regression/classiﬁcation unsupervised learning density estimation, clustering large grant = $1,000,000 large grant = $50,000 nice place to have a meeting: nice place to have a meeting: Snowbird, Utah, French Alps Las Vegas in August
deleted 5y ago
[deleted]
fault1 5y ago
turing, mlj, etc are quite good. https://turing.ml/stable/ https://turing.ml/stable/ https://alan-turing-institute.github.io/MLJ.jl/dev/about_mlj/ https://alan-turing-institute.github.io/MLJ.jl/dev/about_mlj...
- usgroup 5y ago
  Until you've used: https://r-nimble.org/ https://r-nimble.org/
  - malshe 5y ago
    Thanks! Didn't know this exists
  - fault1 5y ago
    looks good! The ecosystem in Julia is quite strong for MCMC libs because people do not have to lower something to C++ to develop such a library: https://discourse.julialang.org/t/mcmc-landscape/25654/ https://discourse.julialang.org/t/mcmc-landscape/25654/ Of course, for users, they might prefer something like Turing, but I think the Julia tends to blur the differences between user and developer more so than in most other languages (for good or worse) since everything is in one language.
sethaxen 5y ago
Statistics is usually considered a subset of ML, except maybe by statisticians. While R definitely leads the pack on variety of useful stats packages, there are excellent tools for certain tasks in other languages. I do a lot of probabilistic programming, and PyMC in Python and Turing in Julia are excellent packages. And both languages have official Stan interfaces. Not knowing R has not been a problem for me.
- deleted 5y ago
  [deleted]
- dmicah 5y ago
  I'm sure it depends on your vantage point, but I would argue that ML is more likely to be considered a subset of Statistics than the other way around.
  - kgwgk 5y ago
    Let the machine decide: https://www.google.com/search?q=%22statistics+is+a+subset+of+machine+learning%22 https://www.google.com/search?q=%22statistics+is+a+subset+of... 1 result https://www.google.com/search?q=%22machine+learning+is+a+subset+of+statistics%22 https://www.google.com/search?q=%22machine+learning+is+a+sub... 2 results Machine learning is a subset of statistics.
- usgroup 5y ago
  It just means that you have problems you're not aware of :-)
  - sethaxen 5y ago
    or that the tooling for the problems I do have is adequate in multiple languages.
dunefox 5y ago
> good luck with that outside of R. There's always RCall for R inside of Julia, the best of both worlds.

jiggunjer 5y ago

Even professors doing trendy "AI" research conflate the two terms.

dagw 5y ago
Even professors doing trendy "AI" research conflate the two terms. Only because doing "AI" gets you bigger grants.
- kgwgk 5y ago
  Tibshirani's Glossary Machine learning Statistics network, graphs model weights parameters learning fitting generalization test set performance supervised learning regression/classiﬁcation unsupervised learning density estimation, clustering large grant = $1,000,000 large grant = $50,000 nice place to have a meeting: nice place to have a meeting: Snowbird, Utah, French Alps Las Vegas in August

deleted 5y ago

[deleted]

fault1 5y ago

turing, mlj, etc are quite good. https://turing.ml/stable/ https://turing.ml/stable/ https://alan-turing-institute.github.io/MLJ.jl/dev/about_mlj/ https://alan-turing-institute.github.io/MLJ.jl/dev/about_mlj...

usgroup 5y ago
Until you've used: https://r-nimble.org/ https://r-nimble.org/
- malshe 5y ago
  Thanks! Didn't know this exists
- fault1 5y ago
  looks good! The ecosystem in Julia is quite strong for MCMC libs because people do not have to lower something to C++ to develop such a library: https://discourse.julialang.org/t/mcmc-landscape/25654/ https://discourse.julialang.org/t/mcmc-landscape/25654/ Of course, for users, they might prefer something like Turing, but I think the Julia tends to blur the differences between user and developer more so than in most other languages (for good or worse) since everything is in one language.

sethaxen 5y ago

Statistics is usually considered a subset of ML, except maybe by statisticians. While R definitely leads the pack on variety of useful stats packages, there are excellent tools for certain tasks in other languages. I do a lot of probabilistic programming, and PyMC in Python and Turing in Julia are excellent packages. And both languages have official Stan interfaces. Not knowing R has not been a problem for me.

deleted 5y ago
[deleted]
dmicah 5y ago
I'm sure it depends on your vantage point, but I would argue that ML is more likely to be considered a subset of Statistics than the other way around.
- kgwgk 5y ago
  Let the machine decide: https://www.google.com/search?q=%22statistics+is+a+subset+of+machine+learning%22 https://www.google.com/search?q=%22statistics+is+a+subset+of... 1 result https://www.google.com/search?q=%22machine+learning+is+a+subset+of+statistics%22 https://www.google.com/search?q=%22machine+learning+is+a+sub... 2 results Machine learning is a subset of statistics.
usgroup 5y ago
It just means that you have problems you're not aware of :-)
- sethaxen 5y ago
  or that the tooling for the problems I do have is adequate in multiple languages.

dunefox 5y ago

> good luck with that outside of R. There's always RCall for R inside of Julia, the best of both worlds.