What is AutoML and when to use or when not to use it
Details
18.00 Arrive/mingle/drinks/snacks
18.30 Introduction to DataRobot
18.40 What is AutoML (and why it's not going to replace data scientists!)
19.10 DataRobot AI Platform Practical Demo (includes: use case, deployment/MLOps, and integration to for example Azure)
19.40 Q&A with networking
20.00 Event finish
Oskar Eriksson is an experienced Data Scientist at DataRobot. He comes from the intersection of statistics, social sciences, and machine learning. Through his six years as a data science professional, he has worked with applied data science at a variety of customers with use cases in text analytics, predictive modeling, unsupervised learning, and forecasting in the Nordics and across EMEA. Aside from practical applications of machine learning, Oskar has conducted research on machine learning for time series analysis.