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Has anyone got experience in using other things than python for machine learning? What are the rivals out there?

by dash2 6y ago

gumby 6y ago
In my experience: Julia, Java, C++. Lack of libraries in a pain; OTOH the quality of most libraries (in general) tends to be poor. Examples of library issues: there is C++ support in tensor flow, but not for training.
- undefinednull 6y ago
  Agree to that completely. It is also hard for the libraries to spend their energy / time in building for languages that covers only a few percentage of total users. :(
- oscardssmith 6y ago
  For anything involving differential equations, Julia is way better than anything else. I also wouldn't be at all surprised if Julia catches up to python for way more machine learning within the next year
- dunefox 6y ago
  Julia doesn't lack libraries and the quality imo is pretty good. Did you look at PyCall.jl?
  - undefinednull 6y ago
    Interesting! I did not yet! will take a look. I remember swift was working on something similar to seamlessly call Python.
jrumbut 6y ago
Particularly outside deep learning, R remains popular especially for those closer to the stats world. Matlab and Mathematica both have interesting machine learning features but are probably orders of magnitude lower usage levels compared to Python.
dunefox 6y ago
I'm using Julia instead of Python for NLP and it's great. If I need a python library I just use PyCall and so far it has worked flawlessly.
- dash2 6y ago
  Can you say a bit about the advantages of each? I'm just starting to learn deep learning and planning to use it for NLP. I'm taking the python-based fast.ai course. But I'm tempted by the elegance of Julia.
  - dunefox 6y ago
    If you're starting you should use Python and when you have a more solid grasp you can switch to Julia. That's mostly due to the fact that there are much more tutorials and resources for dl in python.
samuell 6y ago
There is a rather active community for Go in data science and machine learning. +1700 members on the #data-science channel on the Gopher slack, a few books on the topic, and a few libraries: Books Machine learning with Go - https://www.amazon.com/Machine-Learning-Classification-Time-Programming-ebook/dp/B01LPRN11G https://www.amazon.com/Machine-Learning-Classification-Time-... Go Machine Learning Projects - https://www.amazon.com/Go-Machine-Learning-Projects-Ultimate-ebook/dp/B07D6L111J/ https://www.amazon.com/Go-Machine-Learning-Projects-Ultimate... Libraries https://gorgonia.org/ https://gorgonia.org/ https://www.gonum.org/ https://www.gonum.org/ A good talk (although from a from years back), explaining why Go for ML could be a good idea: https://www.youtube.com/watch?v=D5tDubyXLrQ https://www.youtube.com/watch?v=D5tDubyXLrQ

Has anyone got experience in using other things than python for machine learning? What are the rivals out there?

by dash2 6y ago

Has anyone got experience in using other things than python for machine learning? What are the rivals out there?

In my experience: Julia, Java, C++. Lack of libraries in a pain; OTOH the quality of most libraries (in general) tends to be poor. Examples of library issues: there is C++ support in tensor flow, but not for training.

undefinednull 6y ago
Agree to that completely. It is also hard for the libraries to spend their energy / time in building for languages that covers only a few percentage of total users. :(
oscardssmith 6y ago
For anything involving differential equations, Julia is way better than anything else. I also wouldn't be at all surprised if Julia catches up to python for way more machine learning within the next year
dunefox 6y ago
Julia doesn't lack libraries and the quality imo is pretty good. Did you look at PyCall.jl?
- undefinednull 6y ago
  Interesting! I did not yet! will take a look. I remember swift was working on something similar to seamlessly call Python.

jrumbut 6y ago

Particularly outside deep learning, R remains popular especially for those closer to the stats world. Matlab and Mathematica both have interesting machine learning features but are probably orders of magnitude lower usage levels compared to Python.

dunefox 6y ago

I'm using Julia instead of Python for NLP and it's great. If I need a python library I just use PyCall and so far it has worked flawlessly.

dash2 6y ago
Can you say a bit about the advantages of each? I'm just starting to learn deep learning and planning to use it for NLP. I'm taking the python-based fast.ai course. But I'm tempted by the elegance of Julia.
- dunefox 6y ago
  If you're starting you should use Python and when you have a more solid grasp you can switch to Julia. That's mostly due to the fact that there are much more tutorials and resources for dl in python.

samuell 6y ago

There is a rather active community for Go in data science and machine learning. +1700 members on the #data-science channel on the Gopher slack, a few books on the topic, and a few libraries: Books Machine learning with Go - https://www.amazon.com/Machine-Learning-Classification-Time-Programming-ebook/dp/B01LPRN11G https://www.amazon.com/Machine-Learning-Classification-Time-... Go Machine Learning Projects - https://www.amazon.com/Go-Machine-Learning-Projects-Ultimate-ebook/dp/B07D6L111J/ https://www.amazon.com/Go-Machine-Learning-Projects-Ultimate... Libraries https://gorgonia.org/ https://gorgonia.org/ https://www.gonum.org/ https://www.gonum.org/ A good talk (although from a from years back), explaining why Go for ML could be a good idea: https://www.youtube.com/watch?v=D5tDubyXLrQ https://www.youtube.com/watch?v=D5tDubyXLrQ