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SkillsCast

Introduction to Markov Chains in F#

23rd April 2019 in London at CodeNode

This SkillsCast was filmed at F#unctional Londoners April

A Markov Chain is a stochastic model describing a sequence of possible events, in which the probability of each event depends only on the state attained in the previous event. There are many examples of Markov processes including Google's PageRank algorithm, thermodynamic models and automated speech-recognition systems.

We'll go through a sample implementation of a predictive text system like the one you can find on your phone. Then we will look at how to generate superficially real-looking words.

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Introduction to Markov Chains in F#

Mariusz Wojcik

Mariusz is an experienced developer on the Microsoft stack since before the dawn of the .NET Framework with a passion for programming patterns, distributed computing, machine learning algorithms and recently, functional programming and F# especially. Aspiring presenter. Book lover.

SkillsCast

A Markov Chain is a stochastic model describing a sequence of possible events, in which the probability of each event depends only on the state attained in the previous event. There are many examples of Markov processes including Google's PageRank algorithm, thermodynamic models and automated speech-recognition systems.

We'll go through a sample implementation of a predictive text system like the one you can find on your phone. Then we will look at how to generate superficially real-looking words.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Introduction to Markov Chains in F#

Mariusz Wojcik

Mariusz is an experienced developer on the Microsoft stack since before the dawn of the .NET Framework with a passion for programming patterns, distributed computing, machine learning algorithms and recently, functional programming and F# especially. Aspiring presenter. Book lover.