Cool explanation of computational aspects of recommendations avoiding to "get lost in the weeds of linear algebra".
Read it!"why, even though machine learning is really awesome and cool and you can do super powerful and interesting things with it – why you should still be skeptical"
Read it!A journey starting from the standard formulation of linear regression, moving on to the probabilistic approach, and then progressing to Bayesian linear regression.
Read it!