idalab Talks

idalab seminar #6: Jeremiah Lewis and Edouard Malet from N26

On December 1st 2017, idalab will host a talk by Jeremiah Lewis and Edouard Malet from N26: ‘Lean’ Training Data: An Incremental Approach to Supervised Machine Learning.

idalab talks: Towards Scalable Fraud Detection – a journey from Sklearn to Spark

The new season of idalab talks, will begin on January 20th with Stanimir Dragiev and Tammo Krueger, who will discuss “Towards scalable fraud detection: a journey from Sklearn to Spark”. The talk will start at 4:00 pm.

From flow charts to neurons – structure and flexibility in dialogue systems

Several approaches could be considered while building conversational software, on a spectrum from hand-coded (flow charts) to completely data driven (seq2seq models).

idalab talks: “Explaining Deep Neural Networks Classification Decisions”

As part of the regular idalab talks, idalab will host Grégoire Montavon, who will discuss deep neural network classification decisions. The talk is scheduled for March 18, 2.30pm.