Topconf Duesseldorf 2017

TRACK: Modern Languages

Doing data science with Clojure: the ugly, the sad, the joyful

Having programmers do data science is terrible, if only everyone else were not even worse. The problem is of course tools. We seem to have settled on either: a bunch of disparate libraries thrown into a more or less agnostic IDE, or some point-and-click wonder which no matter how glossy, never seems to truly fit our domain once we get down to it. The dual lisp tradition of grow-your-own-language and grow-your-own-editor gives me hope there is a third way. 

This presentation is a meditation on how I approach data problems with Clojure, what I believe the process of doing data science should look like and the tools needed to get there. Some already exists (or can at least be bodged together); others can be made with relative ease (and we are already working on some of these); but a few will take a lot more hammock time.

Simon Belak

Chief Data Science Officer
GoOpti

date

2017-10-05

starts

12:00

ends

12:40

room

Atelier B

level

Intermediate

topics

data science, clojure, visualization, data manipulation, exploratory analysis, live programming, language interoperability

OTHER TALKS YOU MIGHT BE INTERESSTED IN ...

starts

2017-10-05, 10:20

room

Atelier B

starts

2017-10-05, 11:10

room

Atelier B

starts

2017-10-05, 13:40

room

Atelier B

starts

2017-10-05, 14:30

room

Atelier B

starts

2017-10-05, 15:30

room

Atelier B