Скачать или смотреть Ruby in AI and Machine Learning | Talk.rb

These sources collectively explore why Python is the preferred language for Artificial Intelligence (AI) and Machine Learning (ML) compared to Ruby. Multiple articles and forum discussions highlight Python's extensive library ecosystem (including key tools like NumPy, Pandas, and TensorFlow), its simpler syntax leading to a lower barrier to entry and faster productivity, and its larger, more active community. While acknowledging Ruby's strengths, particularly in web development with Rails, the consensus across the texts is that Ruby lacks the specialized libraries and historical momentum in the AI/ML field that Python possesses. The sources also discuss the flexibility, readability, platform independence, and good visualization options that contribute to Python's dominance in this domain, while some note that actual AI models are often built in lower-level languages with Python providing the interface.

Links:
  / 1_what_advantages_does_python_have_to_make...  
https://djangostars.com/blog/why-pyth...
https://www.coursera.org/articles/pyt...
https://www.datasciencecentral.com/py...
  / role_of_ruby_in_ai_trends  
https://blog.codeminer42.com/ruby-and...
https://dev.to/nicholajones075/ruby-o...
https://github.com/arbox/machine-lear...

Official Resources:
https://www.ruby-lang.org
https://ruby-doc.org
https://rubyonrails.org