*** The date of this event has been updated to May 4th. To register log in & click the RSVP button *** In recent years, the development and the speed of adoption of machine learning technologies in real World applications have been exceptional by previous standards. From the practitioner's point of view, study curricula and previous field experience are being constantly challenged by new methods and new applications. Competitive data science offers a way for learning by doing and a way to refresh your knowledge constantly. In this presentation, we will explore how taking part in data science competitions on the Kaggle platform, a company that is part of Google Alphabet, can help you acquire hands-on experience and stay ahead of recent and relevant methods and algorithms. PS: If you are landing here for the first time, to stay up to date about the next events join our GDSC community (600+ members) by clicking the 'Join us' button. This event is jointly organized with the GDSC at TU Munich.
ETH Zurich
GDSC Lead
ETH Zürich
GDSC Lead
ETH Zürich
GDSC Lead
Core Team Member
ETH Zurich
Core Team Member
ETH Zurich
Core Team Member
Core Team Member
Core Team Member
Core Team Member
ETH
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
ETH Zürich
Core Team Member
Core Team Member