Ubuntu. Debian is also a good alternative if you are fine with dealing with ancient Linux Kernel.
this post was submitted on 21 Nov 2023
1 points (100.0% liked)
Machine Learning
1 readers
1 users here now
Community Rules:
- Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
- Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
- Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
- Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.
founded 2 years ago
MODERATORS
Conda environments, containers and portability > in-depth Linux distro configuration. You really want to keep the distro configuration to a minimum, ultimately it is a distraction (“cattle not pets”).
I started with Ubuntu and saw no reason to use anything else, so I would just use 1 and stop wasting your time/energy thinking about it
Ubuntu is great. When I started looking into machine learning 4 years ago, it became real clear to stay away from windows. At the time, Ubuntu was a dominant distro so I took the plunge and never looked back.
Today I had to boot up into Windows and was once again reminded of why Ubuntu rocks. Windows just gets in the way ...
I started with Ubuntu and saw no reason to use anything else, so I would just use 1 and stop wasting your time/energy thinking about it
Ubuntu. Debian is also a good alternative if you are fine with dealing with ancient Linux Kernel.
Conda environments, containers and portability > in-depth Linux distro configuration. You really want to keep the distro configuration to a minimum, ultimately it is a distraction (“cattle not pets”).
Pop!_os, or arch, they are both equal for ML but i can sure tell you which one is easier to set up...
Honestly:
- Mint if completely new
- Endeavor if you have typed on the terminal a bit before
- Debian or Arch for more comfortable users: the more preferring slow changes the latter preferring more, however both are STABLE so up to you and your use case.
Pop!_os, or arch, they are both equal for ML but i can sure tell you which one is easier to set up...
Honestly:
- Mint if completely new
- Endeavor if you have typed on the terminal a bit before
- Debian or Arch for more comfortable users: the more preferring slow changes the latter preferring more, however both are STABLE so up to you and your use case.
Ubuntu is great. When I started looking into machine learning 4 years ago, it became real clear to stay away from windows. At the time, Ubuntu was a dominant distro so I took the plunge and never looked back.
Today I had to boot up into Windows and was once again reminded of why Ubuntu rocks. Windows just gets in the way ...
Manjaro. The repository has an excellent GUI and it has everything you’ll ever need (AUR included).
Manjaro is very good
Manjaro is very good
Manjaro. The repository has an excellent GUI and it has everything you’ll ever need (AUR included).
i've been using ubuntu for my data science and machine learning work, and it's been solid. plenty of community support and easy to set up. i'd recommend giving it a try.
gvkpml0
i've had a solid experience with Ubuntu for data science and ML tasks. it's widely used and has great community support for troubleshooting. i'd recommend giving it a try!
Ubuntu or debian, dont worry about the other choices.
Ubuntu works fine. The thing that most people are scared of are the drivers pam pam paaaaam... If you get comfortable around them, the Linux distro should not matter much. Here is a good outline for Ubuntu.
Kiss principal says Ubuntu
i've had a great experience using ubuntu for data science and machine learning. it's widely supported and has a large community for troubleshooting. plus, it's easy to install cuda and other libraries. highly recommend it!
I use Ubuntu works great.
get something that can run anaconda and then u dont need to worry about anything
Ubuntu
Debian all the way. Support and security are top-notch.