Monte Carlo methods

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Towards Data Science

In this new post of the “Deep Reinforcement Learning Explained” series, we will introduce the Monte Carlo Methods and the Exploration-Explanation Dilemma

Monte Carlo Methods, Made Simple

Towards Data Science

Imagine a 10 by 10 square on a coordinate grid. Some shape is drawn on that grid, but you don’t know what it looks like. However, you can query a function f(x, y) where (x, y) is the coordinate and…

Monte Carlo Simulation

Towards Data Science

Part 5: Randomness & Random Number Generation Continue reading on Towards Data Science

A Gentle Introduction to Monte Carlo Methods

Towards Data Science

Monte Carlo methods are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept behind these methods is the use of…

Monte Carlo Method Explained

Towards Data Science

In this post, I will introduce, explain and implement the Monte Carlo method to you. This method of simulation is one of my favourites because of its simplicity and yet it’s a refined method to…

Monte Carlo Methods Decoded

Towards Data Science

The Basics Imagine you have a big, mysterious jar full of different-colored marbles. There is one problem: you can’t see inside it to count how many of each color there are. You want to know which col...

A Gentle Introduction to Monte Carlo Sampling for Probability

Machine Learning Mastery

Monte Carlo methods are a class of techniques for randomly sampling a probability distribution. There are many problem domains where describing or estimating the probability distribution is relatively...

An Overview of Monte Carlo Methods

Towards Data Science

Monte Carlo (MC) methods are a subset of computational algorithms that use the process of repeated random sampling to make numerical estimations of unknown parameters. They allow for the modeling of…

Monte Carlo Without the Math

Towards Data Science

Monte Carlo simulations are extremely common methods in the world of data science and analytics. They can be used for everything from business process optimization to physics simulation…

A Gentle Introduction to the Monte Carlo Simulation

Towards Data Science

Learn how to create this famous simulation using R and Python. Continue reading on Towards Data Science

Monte Carlo Integration and Sampling Methods

Towards Data Science

Integration is a critical calculation used frequently in problem solving. With a probability task, an expectation value of a continuous random variable x is defined by the following integration where…...

The basics of Monte Carlo integration

Towards Data Science

We all remember the integrals we had to compute manually in hight school. To do so, we had to compute a series of more or less complexe operations to find the antiderivative functions’ expressions…