Traps, Pitfalls and Misconceptions of Machine Learning applied to Scientific Disciplines
Davide Del Vento, Alessandro Fanfarillo · Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) · 2019
In the last decade, Machine Learning has experienced a dramatic increase in performance on a wide variety of tasks, including computer vision, speech recognition, text parsing, and language translation, just to name a few. This has corresponded to an understandable hype especially for the remarkable results achieved in some cases. Therefore, practitioners of Scientific Disciplines have become interested in utilizing new Machine Learning techniques, and have sometimes started doing so with mixed success.