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.
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
Several approaches could be considered while building conversational
software, on a spectrum from hand-coded (flow charts) to completely data
driven (seq2seq models).
As part of the idalab talks, on May 20th we will host Stefan
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.