When would you use random forests vs SVM and why?

Related questions

1. What is mean decrease Gini?
2. Why is feature engineering important?
3. How do you determine variable importance?
4. Why are variables important in research?
5. What is XGBoost feature importance?
6. Why do we need feature extraction?
7. Does random forest need feature selection?
8. Why is random forest good?
9. How does feature selection work?
10. Does random forest give probability?

Tags

1. #numerical
2. #binary
3. #random
4. #categorical
5. #forest
6. #problems
7. #works
8. #suited
9. #class
10. #problem
11. #mixture
12. #classification
13. #multiple
14. #while
15. #reduce
16. #intrinsically
17. #multiclass
18. #features