deep-diamond VS geni

I had some "classical ML" knowledge and knew a bit about the math behind DL and tensors in general thanks to the book Deep Learning for Programmers showcased in this repo: https://github.com/uncomplicate/deep-diamond (it's not in Rust, and I'm not sure what the current state of it is, though!).

Plase check out clojars, or https://neanderthal.uncomplicate.org/ https://clojurecuda.uncomplicate.org/ https://github.com/uncomplicate/deep-diamond

Do clojure as a side gig or in free time. Let day job pay the bills. If you can, maybe incorporate clojure into work job to solve small problems (https://github.com/clj-python/libpython-clj and https://github.com/scicloj/clojisr provide bridges to/from python and r). There is a lot of effort going into the data science side as well; the scicloj effort has resulted in a lot of growth over the last 2 years. tech.ml.dataset, tech.ml (now scicloj.ml). Dragan has a bunch of excellent stuff in neanderthal and deep diamond. There are also bindings to other jvm libraries from multiple languages.

sparkling is fine. there is also geni

I haven't tried Spark from Kotlin, but it's a nice experience working with it in Clojure, and I have yet to see a language more expressive than Clojure. :)

I think for the large scale stuff, wrappers like geni are pretty nice and built on top of established tech. There were several distributed computing platforms like onyx and storm that popped up in clojure as well that may be interesting to look at. clojure toolbox has a good index of libraries to examine.