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