Please log in to watch this conference skillscast.
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.
YOU MAY ALSO LIKE:
- Expressive parallel analytics with Clojure (SkillsCast recorded in December 2015)
- ML Pipelines from the Get Go (Without Tears) (SkillsCast recorded in August 2022)
- Keynote — Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation (SkillsCast recorded in November 2021)
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.