Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Christian Hidber

Christian Hidber
Software Engineer, bSquare


Christian Hidber is a software engineer at bSquare, where he applies machine learning to industrial hydraulics simulation, part of a product with 7,000 installations in 42 countries. He holds a PhD in computer algebra from ETH Zurich, which he followed with a postdoc at UC Berkeley, where he researched online data mining algorithms.


14:0514:45 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Christian Hidber (bSquare)
Average rating: ****.
(4.86, 7 ratings)
Reinforcement learning (RL) learns complex processes autonomously like walking, beating the world champion in Go, or flying a helicopter. No big datasets with the “right” answers are needed: the algorithms learn by experimenting. Christian Hidber shows how and why RL works and demonstrates how to apply it to an industrial hydraulics application with 7,000 clients in 42 countries. Read more.