Clojure for Machine Learning

1st December 2016 in London at CodeNode

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You have heard that Clojure’s ancestor language, Lisp, was developed for artificial intelligence research. Yet, until recently, Clojure’s support for machine learning has mostly consisted of wrapped Java libraries.

Informed by his work as a freelance data scientist working primarily with Clojure, Henry will explore some newer libraries that enable sophisticated data analysis unencumbered by Java’s legacy. You will also learn how Clojure’s core sequence-processing strengths naturally lend themselves to simple machine learning techniques you can try at home.


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Clojure for Machine Learning

Henry Garner

Henry Garner is a freelance data engineer working primarily in Clojure. He’s author of the Packt book 'Clojure for Data Science' and managed to squeeze the buzzwords 'big data' and 'machine learning' onto the cover. And also into this biography.