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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.
The Call for Papers is now open for Clojure eXchange 2017! Submit your talk for the chance to join a stellar line-up of experts on stage. Find out more.
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Clojure for Machine Learning
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.