Automated Machine Learning aims to reduce the human effort involved in machine learning and allow groups of all knowledge levels to benefit.ðŸ§
In this talk, Dipti Sengupta gives a little background in Machine Learning and Automated Machine Learning (AutoML), the areas of AutoML, before taking a closer look at what is most in use today. We will build on the levels of knowledge, beginning with a no-code solution offered by Microsoft and peaking with a fully customizable library by the AutoML Lab in Freiburg.
Along the way, Dipti will share her experiences and opinions, and highlight practical advice on what not to do while creating better data models.👀
This event is intended to introduce the idea of Automated Machine Learning and be a starting point for leveraging Machine Learning, independent of technical background.💫
University of Freiburg
MSc Student
Dipti Sengupta is a full-time student pursuing a Master's in Computer Science with a focus on Machine Learning from the University of Freiburg. She enjoys activities requiring creative thinking and splits her time between her kitchen, computer, and dance floor. Dipti started in software development, wandered into Cloud Systems, and will work in Machine Learning until she finds another topic th…
ETH Zurich
GDSC Lead
ETH Zürich
GDSC Lead
ETH Zürich
MSc Graduate
Swiss Re Ltd
GDSC Core Team Member
ETH Zurich
GDSC Core Team Member
ETH Zürich
GDSC Core Team Member
GDSC Core Team Member
ETH Zürich
GDSC Core Team Member
ETH Zurich
GDSC Core Team Member
GDSC Core Team Member
ETH Zurich
GDSC Core Team Member
ETH Zürich
GDSC Core Team Member
GDSC Core Team Member
University of Zurich
GDSC Core Team Member
GDSC Core Team Member
GDSC Core Team Member
GDSC Core Team Member
GDSC Core Team Member