Information Theory (IT) as a basis for Machine Learning (ML)

Solve the game Mastermind using ML mathematical techniques. These include: IT, Simulated Annealing and Markov chains.
Udemy
platform
English
language
Math
category
instructor
Information Theory (IT) as a basis for Machine Learning (ML)
5
students
2.5 hours
content
Jan 2025
last update
$13.99
regular price

What you will learn

Automate Excel Solver for different trials – which in turn requires learning and using Named Ranges.

For Visual Basic for Applications (VBA) developers understand the VBA code required to automate Excel.

To understand how Metropolis-Hastings can be applied to identify probable solutions.

To understand Simulated Annealing.

To learn how to apply Simulated Annealing (together with Metropolis-Hastings to identify a probable feasible solution.

To ascertain how all these techniques are combined to create a Machine Learning strategy.

Course Gallery

Information Theory (IT) as a basis for Machine Learning (ML) – Screenshot 1
Screenshot 1Information Theory (IT) as a basis for Machine Learning (ML)
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Information Theory (IT) as a basis for Machine Learning (ML) – Screenshot 3
Screenshot 3Information Theory (IT) as a basis for Machine Learning (ML)
Information Theory (IT) as a basis for Machine Learning (ML) – Screenshot 4
Screenshot 4Information Theory (IT) as a basis for Machine Learning (ML)

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5926624
udemy ID
16/04/2024
course created date
15/07/2024
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