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Machine Learning and Data Science in Clojure: Presented by Aria Haghighi

Amperity

627 subscribers • 2 videos on Hallway

YouTube
  • Recommended by 2 people: 2 in engineering communities.
  • Presented by Aria Haghighi, VP of Data Science at Amperity
  • May be out of date. Uploaded 7 years ago, in an area where tools change fast.

Intermediate. Assumes working knowledge.

4.7K views7 years ago2 recommendations

Programming languagesAI and machine learningLisp and ClojureTraining and serving models

Aria Haghighi demonstrates his toolset for data science in Clojure and compares its functional paradigm to the Python ecosystem.

Amperity's VP of Data Science, Aria Haghighi (github.com/aria42) shows his toolset for data science in Clojure. Many in the business use Python, but he'll show you how he makes this happen in our favorite functional toolset while comparing the two universes.

Why it's here

2 people recommend this

What people say. Recommended as an insightful comparison of Clojure and Python for data science and machine learning workflows.

Moments people linked to

u/metasoarousin r/Clojure • Recommends

…eruns starting from the first changed code-form in the file (ignoring whitespace). This simple strategy allows for a tight feedback loop, even with code which periodically takes a while to fetch or process data. If you're interested in seeing a brief demonstration of this functionality, please take a look at the short screencast I put together: [video For the intrigued, this ended up being a rather interesting technical problem, as you can't evaluate `ns` forms in non-root threads (can't call `set!` on dynamic vars, such as `*ns*`, except in root threads apparently). However, I was able to get around this restriction and evaluate code in the context of a particular namespace from the wa…
38View on Reddit

u/gigasquidin r/Clojure • Recommends

Machine Learning and Data Science in Clojure: Presented by Aria Haghighi
20View on Reddit