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 language, then this course is for you. It proposes different approaches to improving the System.Random class, providing a number of powerful techniques that solve problems more efficiently and with fewer lines of code.
There are a lot of problems we face in programming that deal with uncertainty, statistics, and probabilities. Unfortunately, the...Show More
Content
1.
Introduction to System.Random in C#
2 Lessons
Get familiar with System.Random's limitations and its impact on C# programming.
2.
Introduction to Fixing Random
3 Lessons
Look at improvements to C#’s randomness, probability distributions, and sampling techniques.
3.
Fixing Random - Discrete Distribution
22 Lessons
Master the steps to implement and optimize discrete distributions in C#, including Bernoulli and alias methods.
4.
Fixing Random - Continuous Distribution
13 Lessons
Apply your skills to sampling and estimating expected values in continuous distributions.
5.
Conclusion
2 Lessons
Explore probabilistic programming, improved tools, and efficient techniques for estimating values.
6.
Appendix
2 Lessons
See how it works to define and generate non-uniform random data in C#.
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