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#### Monte Carlo Methods

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

Read more at Towards Data Science | Find similar documents#### Monte Carlo Methods, Made Simple

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…

Read more at Towards Data Science | Find similar documents#### Monte Carlo Simulation

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

Read more at Towards Data Science | Find similar documents#### A Gentle Introduction to Monte Carlo Methods

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…

Read more at Towards Data Science | Find similar documents#### Monte Carlo Method Explained

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…

Read more at Towards Data Science | Find similar documents#### Monte Carlo Methods Decoded

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...

Read more at Towards Data Science | Find similar documents#### A Gentle Introduction to Monte Carlo Sampling for Probability

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...

Read more at Machine Learning Mastery | Find similar documents#### An Overview of Monte Carlo Methods

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…

Read more at Towards Data Science | Find similar documents#### Monte Carlo Without the Math

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…

Read more at Towards Data Science | Find similar documents#### A Gentle Introduction to the Monte Carlo Simulation

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

Read more at Towards Data Science | Find similar documents#### Monte Carlo Integration and Sampling Methods

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…...

Read more at Towards Data Science | Find similar documents#### The basics of Monte Carlo integration

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…

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