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HackerEarth is pleased to announce its next webinar to help you understand what it really takes to win machine learning competitions.
Agenda of this webinar will include:
- How Marios started his journey?
- Why most people fail to win ?
- Useful Machine Learning Strategies for Competitions
Marios Michailidis is Manager of Data Science at Dunnhumby and part-time PhD in machine learning at University College London (UCL) with a focus on improving recommender systems. He has worked in both marketing and credit sectors in the UK Market and has led many analytics projects with various themes including acquisition, retention, uplift, fraud detection, portfolio optimization and more. In his spare time, he has created KazAnova, a GUI for credit scoring 100% made in Java. He is also former Kaggle #1.
The Webinar is scheduled for March 5th at 9:00 PM IST.
Update: This webinar is over. You can find the recorded video, slides and Q & As on Winning Tips on Machine Learning by Marios.