Three types of Entropy:

Entropy is a scientific concept, most commonly associated with states of disorder, randomness, or uncertainty. The term and the concept are used in diverse fields, from classical thermodynamics, where it was first recognized, to the microscopic description of nature in statistical physics, and to the principles of information theory. It has found far-ranging applications in chemistry and physics, in biological systems and their relation to life, in cosmology, economics, and information systems, including the transmission of information in telecommunication.

The "three types of entropy" generally refer to entropy as a thermodynamic concept, information entropy, and the maximum entropy principle, which are distinct but related ways of conceptualizing entropy across physics, information theory, and statistical inference. Other groupings of entropy exist, such as classifications of thermodynamic, informational, and digital entropies or types of quantum statistics-based entropies.

#Entropy #DigitalEntropy #MechanicalEntropy #StatisticalEntropy #InformationEntropy #Disorder #Randomness

Adding a notes column to a project budget in #Excel to clarify the presence of partial years in some costs.

I entered "2 years" in the first two rows. Unrequested, Excel's "Flash Fill" then offered the following completion for the column.

Who wants this?

#SoCalledAI #InformationEntropy #MicrosoftOffice

Nice to see that a method based on information #entropy to analyze #music, that I too used in my PhD dissertation, has been making the rounds and producing reasonable results :) https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.6.013136 #InformationEntropy #Shannon
Information content of note transitions in the music of J. S. Bach

A study combines methods from network science, information theory, and cognitive science to examine the information present in note transitions within music composed by J. S. Bach. It identifies and explains differences in information content across various compositional forms based on their network structure.

Physical Review Research