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Ben Hamner

Ben Hamner
Data Scientist, Kaggle


Ben Hamner is the Director of Engineering Kaggle. He has worked with machine learning problems in a variety of different domains, including natural language processing, computer vision, web classification, and neuroscience. Prior to joining Kaggle, he applied machine learning to improve brain-computer interfaces as a Whitaker Fellow at the École Polytechnique Fédérale de Lausanne in Lausanne, Switzerland. He graduated with a BSE in Biomedical Engineering, Electrical Engineering, and Math from Duke University.


Ben Hamner (Kaggle)
Average rating: ****.
(4.71, 14 ratings)
After running hundreds of machine learning projects, I've seen many common pitfalls that can derail the project. These gremlins include data leakage, overfitting, poor data quality, solving the wrong problem, and many more. In this talk, I'll go through these gremlins with detailed examples and discuss ways to avoid them, so your machine learning application can be successful and create value. Read more.
Office Hour
Table A
Ben Hamner (Kaggle)
Got gremlins? Ben has seen many of the most common machine-learning mistakes, gremlins, and pitfalls that can get in the way of a successful project. He’s happy to meet with you to discuss the gremlins snarling your project and other topics, such as: how to structure a machine-learning problem, and how to pick a machine-learning method. Read more.