Learning Objectives:
#1 - How decision trees work
#2 - How RF algorithm works
#3 - Interpreting RFs
#4 - Advantages of RF models
#5 - Disadvantages of RF models
#6 - How to combine strengths/weaknesses of RFs and GLMs
And here's the paper on Random Forest I was talking about:
https://psyarxiv.com/ebsmr