AutoML - Paco Nathan | PyData Hamburg May 2021

In this May Meetup we have two inspiring talks on Machine Learning. This edition was sponsored by IBM: IBM funds open source development through NumFocus while Tim Bonnemann provides a brief introduction to the IBM data science community. Part 1: A Load Defaulter Prediction Model - with Nadita Sharma: Enjoy the talks! Your PyData Hamburg Crew -------- # (Talk 2) Paco Nathan: AutoML AutoML is a very active area of AI research in academia as well as R&D work in industry. The public cloud vendors each promote some form of AutoML service. Tech unicorns have been developing AutoML services for their data platforms. Many different open source projects are available, which provide interesting new approaches. But what does AutoML mean? Ostensibly automated machine learning will help put ML capabilities into the hands of non-experts, help improve the efficiency of ML workflows, and accelerate AI research overall. While in the long-term AutoML services promise to automate the end-to-