Fixing Random: Techniques in C#

Advanced

44 Lessons

20h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

36 Playgrounds

This course includes

36 Playgrounds

Course Overview

There are a lot of problems we face in programming that deal with uncertainty, statistics, and probabilities. Unfortunately, the majority of the general-purpose languages that we use on a daily basis don’t provide a great approach to solving them. This is particularly the case in C# with the System.Random class. The implementations of this class have been pretty poor for some time. System.Random in C# regularly leads to unexpected, buggy outcomes. If you’re a C# fan who’s looking for new ways to use the l...Show More

Course Content

Introduction to System.Random in C#

Who is This Course For?

Disadvantages of System.Random in C#

Introduction to Fixing Random

Fix the Trivial Problems Introduction to Continuous Probability Distributions

Introduction to Discrete Distributions

Fixing Random - Discrete Distribution

Fixing Random - Continuous Distribution

Probability Distribution Function

Techniques for Sampling Metropolis Algorithm Posterior Distributions Computing Continuous Posterior Distribution Expected Value of a Discrete Distribution What is the Average Value as the Number of Samples Increases Better Estimation of the Expected Value Better Estimation of the Expected Value (Continued)Reviewing Expected Value Correct Implementation of Importance Sampling Attacking the Final Problem Further Improvements

Conclusion