Successful Data Science in Production Systems: It’s All About Assumptions

Jul 17, 2020



We explore the art of identifying and verifying assumptions as we build and deploy data science algorithms into production systems. These assumptions can take many forms, from the typical “have we properly specified the objective function?” to the much thornier “does my partner in engineering understand what data I need audited?”. Attendees from outside industry will get a glimpse of the complications that arise when we fail to tend to assumptions in deploying data science in production systems; those on the inside will walk away with some practical tools to increase the chances of successful deployment from day one.



About ICML 2020

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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