Clojure Data Science

on YouTube ↗33m

" summary

Clojure expresses entropy and relative-entropy exactly as the math and runs it on 1,000,000 random numbers to compare implementations: naive map/reduce ~50 ms, Java-array approach ~25 ms and 8 milliseconds with reducers via fork-join. Integrations shown: Datomic queries computing relative entropy across server response-time distributions to flag a bimodal/anomalous server, Cascalog/Hadoop and JBlas bridges to Mahout/Weka, and a production example of 130,000 lines, €13M funding powering robot recycling.

AI-written summary · about

" chapters (11)

1. 0:00Intro
2. 2:35Analysis tools
3. 4:05Mathematical abstraction
4. 6:13Data science requires both
5. 13:17Entropy
6. 18:21Summary
7. 23:48Connecting Data
8. 24:46Querying Data
9. 29:42The Future
10. 30:58Zen Robotics
11. 32:10Lambda

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