Not always a black box: Machine learning approaches for model explainability

Topic: Not always a black box: Machine learning approaches for model explainability Schedule: 6:00pm - 6:30pm - ODSC Intro, Pizza & Refreshments 6:30pm - 7:20pm - Talk 7:20pm - 7:30pm - Q&A 7:30pm - 8:00pm - Networking Bio: Violeta has been working as a data scientist at ABN AMRO bank for the past 2 years. Before that she worked as a data science consultant at Accenture, the Netherlands for about 1,5 years. Before working in the industry, Violeta was working in academia. She completed a Ph.D. degree from Erasmus University in the field of applied econometrics. Abstract: Most data scientists will agree that in most cases, a more complex model will result in a more accurate model.