Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

Hardcore data science in practice

Mikio Braun (Zalando SE)
14:30–15:00 Wednesday, 1/06/2016
Hardcore data science
Location: Capital Suite 4 Level: Advanced
Tags: ecommerce
Average rating: *****
(5.00, 6 ratings)

Prerequisite knowledge

Attendees should have experience with machine learning, data science, and project management.

Description

Mikio Braun explains why, in practice, hardcore data science is not just about learning methods but also about bringing these methods to production. This does not mean simply reimplementing methods in production systems. Rather, you must successfully deal with issues like data updates, cultural differences between data science and developers, and how to monitor and test in practice.

Photo of Mikio Braun

Mikio Braun

Zalando SE

Mikio Braun is delivery lead for recommendation and search at Zalando, one of the biggest European fashion platforms. Mikio holds a PhD in machine learning and worked in research for a number of years before becoming interested in putting research results to good use in the industry.