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
Stephen Rayward
instructor
Information Theory (IT) as a basis for Machine Learning (ML)
3
students
2.5 hours
content
Jan 2025
last update
$19.99
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.

Screenshots

Information Theory (IT) as a basis for Machine Learning (ML) - Screenshot_01Information Theory (IT) as a basis for Machine Learning (ML) - Screenshot_02Information Theory (IT) as a basis for Machine Learning (ML) - Screenshot_03Information Theory (IT) as a basis for Machine Learning (ML) - Screenshot_04
5926624
udemy ID
4/16/2024
course created date
7/15/2024
course indexed date
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course submited by
Information Theory (IT) as a basis for Machine Learning (ML) - | Comidoc