Mean Absolute Error
Mean Absolute Error (MAE) is a metric for assessing regression predictions. Simply take the average of the absolute error between all labels and predictions in …
Mean Absolute Error (MAE) is a metric for assessing regression predictions. Simply take the average of the absolute error between all labels and predictions in …
Notes taken during ML Regression by Coursera.
n x m
(n rows, m columns).Root mean-squared error (RMSE) is a function for assessing regression predictions.
Sometimes called L2 Loss because it takes the L2 Norm of the error vector …
Notes from Coursera's Machine Learning Foundations: A Case Study Approach by Emily Fox and Carlos Guestrin
Coursera Verified Certificates, License GKNAYZY4TH, October 2013
Full course write up available here
These notes were taken from the in-person course completed in 2013 and were used to get the following certs:
When a process spawns a separate process to handle some work, it invokes
the fork(2)
system call. fork(2)
duplicates the current process in …