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Wednesday, May 15 • 2:00pm - 2:50pm
Machine learning language showdown FULL

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One of the most common questions heard from aspiring data scientists is which language is best for machine learning. Experts weigh in on the pros and cons, and best use cases, for the most popular languages for ML. In one corner, we have R, the favorite of statisticians. In another corner is Python, the “all-arounder”. And we have a surprise underdog in Clojure, the functional favorite of the JVM. While there are no winners and losers in this discussion, you’ll come away with a clear understanding of the strengths of each language.

Speakers
avatar for Matt Revelle

Matt Revelle

I'm a researcher working on applications of program analysis and machine learning for finding software vulnerabilities. I am also a PhD candidate wrapping up my dissertation on using machine learning to model online social networks. Happy to talk about all related topics!
avatar for Aditya Nagarajan

Aditya Nagarajan

Data Scientist, Pearson
I am a research engineer working on a diverse set of problems in natural language processing. My current focus is on applying transfer learning and meta learning techniques to machine learning pipelines. When I am not writing code I like to mountain bike and rock climb.
avatar for Leigh Alexander

Leigh Alexander

Bioinformatics Scientist, SomaLogic
machine learning | R | proteomicsStarted as cognitive neuroscientist, turned policy- & community-based researcher, turned data scientists/bioinformatician, turned... whatever's next!Currently building predictive models around various disease and wellness states.



Wednesday May 15, 2019 2:00pm - 2:50pm
Galvanize - Torreys 1023 Walnut St. - Galvanize, Boulder, CO 80302

Attendees (125)


Waitlist (14)