Error and Noise – The principled choice of error measures. What happens when the target we want to learn is noisy. Lecture 4 of 18 of Caltech’s Machine Learning Course – CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App – itunesu.itunes.apple.com and on the course website – work.caltech.edu Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, creativecommons.org This lecture was recorded on April 12, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.