This workshop will focus on understanding the theoretical motivations behind Apache Spark and how they affect its use in practice. Given that many tools overlap with the functionality available in Spark, we will work...
Category - Nordic Data Science Summit 2016
Deep Learning For Automatic Visual Classification – Stefan Carlsson
Systems for of automatically classifying visual content in images has improved substantially in the last 2-3 years due to the introduction of methods of “deep learning”. This is based on training a...
Building Data Applications With Vespa – Thiago Martins
Big data applications require us to move beyond the regular stateless container + database model. Batch data processing can be solved using the map-reduce application model, and predefined values can be computed with...
Lessons From The Saga Of 300 Million Players – Vince Darley
Vince will share some of the key data science lessons King have learned over the last few years. This whistlestop tour will cover how to keep players for the long run, AB-testing, predictive analytics, big data systems...
Deep Learning: Technical Introduction – Leif Nordlund
An ABC how to get started with accelerated AI, BI and Data Analytics on large datasets, and how to proceed with Deep Learning on your data.