Relations Between Machine Learning and Dynamical Systems

Among the following dynamical models, which ones are NOT Markovian in general?
Systems written in a configuration (position) variables only
Reduced systems using variables from a Principal Component Analysis
Stochastic dynamical systems
Systems given by Ordinary Differential Equations
Can we simplify a system by reducing the number of variables?
Yes
No
Can we simplify a system by increasing the number of variables?
Yes
No
If a deterministic system is integrable, its entropy is:
<0
>0
=0
What data processing step will make the inference easier?
Data augmentation
Data normalization
Does white noise add entropy to a system?
Yes
No
Can a stochastic system be integrable?
Yes
No
{"name":"Relations Between Machine Learning and Dynamical Systems", "url":"https://www.quiz-maker.com/QPREVIEW","txt":"Among the following dynamical models, which ones are NOT Markovian in general?, Can we simplify a system by reducing the number of variables?, Can we simplify a system by increasing the number of variables?","img":"https://www.quiz-maker.com/3012/images/ogquiz.png"}
Powered by: Quiz Maker