- #1

fog37

- 1,568

- 108

I have become familiar with ML and a number of ML models (supervised and unsupervised). I would like to now learn about Monte Carlo simulations since they are so ubiquitous in many fields.

When would we choose to do a Monte Carlo simulation instead of building a ML model (supervised, unsupervised, reinforcement learning)?

What kind of problems are more suitable for a MC simulation?

Thank you!