Introduction to Recommender Systems: Non-Personalized and Content-Based
Notes from Coursera's Introduction to Recommender Systems: Non-Personalized and Content-Based by Joseph A Konstan and Michael D. Ekstrand.
Notes from Coursera's Introduction to Recommender Systems: Non-Personalized and Content-Based by Joseph A Konstan and Michael D. Ekstrand.
Notes from Coursera's Data Structures and Performance by Christine Alvarao, Leo Porter and Mia Minnes.
For some data relationships in Postgres (or any other relational database that speaks SQL), recursive queries are near inevitable. Let's say you have some top-level …
Mean Absolute Difference (MAE) is a function for assessing Regression predictions. It's also as L1 Loss because it takes the L1 Norm of the error …
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 Error 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