A Few Useful Things to Know about Machine Learning
Pedro Domingos, Department of Computer Science and Engineering, University of Washington, Seattle
This article summarizes twelve key lessons that machine learning researchers and practitioners have learned. These include pitfalls to avoid, important issues to focus on, and answers to common questions. My fave: First-timers are often surprised by how little time in a ma- chine learning project is spent actually doing machine learn- ing. But it makes sense if you consider how time-consuming it is to gather data, integrate it, clean it and pre-process it, and how much trial and error can go into feature design.