In this article, the author discusses the use of machine learning in Elixir and how it compares to Python. While the author acknowledges that Python is the default language for machine learning projects, they argue that Elixir offers strong advantages due to its powerful abstractions for distributing work, concurrency, and scalability. Additionally, Elixir’s focus on immutable data structures and functional programming reduces complexity and avoids the code becoming a “big ball of mud”. The author also mentions the Bumblebee project, which showcases how easily ML can be added to a Phoenix web app. Overall, the author sees great potential for Elixir in the field of machine learning.
https://underjord.io/why-ml-on-erlang.html