Jason Brownlee wrote this piece about Monte Carlo. Monte Carlo methods are a class of techniques for randomly sampling a probability distribution.
Ddesired quantity can be approximated by using random sampling, referred to as Monte Carlo methods. These methods were initially used around the time that the first computers were created and remain pervasive through all fields of science and engineering, including artificial intelligence and machine learning.
Monte Carlo methods, or MC for short, are a class of techniques for randomly sampling a probability distribution.
This tutorial is divided into three parts; they are:
- Need for Sampling
- What Are Monte Carlo Methods?
- Examples of Monte Carlo Methods
You may be using Monte Carlo methods all the time without thinking about it. Good read, with code examples in NumPy!
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