Machine Learning, Data Science.
intractable). If sacrificing precision is an acceptable trade-off, then using Monte Carlo techniques as a general problem-solving framework in domains involving randomness and uncertainty makes a lot of sense. A related use of this technique involves combining Monte Carlo methods with Markov