jeremiah lewis and edouard malet
idalab seminar #6: Jeremiah Lewis and Edouard Malet from N26 idalab
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. Machine learning in a young start up does not look like a Kaggle competition. Data science projects start with a more extensive roadmap than dataset. In the absence of data, subject-matter knowledge makes heuristic solutions a tempting first step for all stakeholders involved. While rules-based algorithms are not the glamorous side of data science, they need not be a dead end and can form the basis for increasingly sophisticated labeled data.