Analytics

At this year’s EuroClojure I gave a talk about probabilistic programming with Clojure, using the Anglican probabilistic programming system. Abstract: Probabilistic Programming Systems aim to merge general purpose programming with probabilistic modelling. They provide powerful statistical inference and thus allow developers to focus on the modelling with tools and environments they are comfortable with. These emerging methods are promising additions to the Data Scientist’s toolbox and an interesting, satisfying playground for programming enthusiasts. This talk is an introduction to Probabilistic Programming Systems, their use and value for the industry and Clojure’s great library “Anglican”. ...

Do you think your company should leverage Big Data? Are you looking for Hadoop and Apache Storm engineers already? Did you evaluate cloud service to run distributed computations and your DevOps team enjoys some good trainings about how to manage those? That’s awesome! Well, as long as you actually need all that stuff: Yes, there is a lot of buzz around Big Data. And yes, I am convinced there is a tremendous amount of value in it. Big Data based companies are real and they can have disruptive products. ...

Not everything that can be counted counts, and not everything that counts can be counted. ― Albert Einstein