Welcome to the Applied Machine Learning reading group at the MIT Media Lab! The machine learning research ecosystem has been dominated by theoritical and incremental work. Yet, practical, real-world problems yearn for real-time, large-scale machine learning, often involving messy data. An ability to a) understand the distributions of your data before modeling, b) choosing the right algorithmic approaches for the right kind of data, and c) work with many practical constraints are very important for applying machine learning to real-world problems. We as a group discuss techniques & approaches with real-world applications in mind. We meet Wednesdays in E14-393 from 3-4pm. To get added to the mailing list, please send an email to this email address.
Organizers: Karthik Dinakar, Nicholas De Palma, Catherine Havasi