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Coursera - Johns Hopkins University Random Processes 2024 BOOKWARE-LERNSTUF

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Coursera
Johns Hopkins University: Random Processes
2024
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.. - - - /- --- _- [ R E L E A S E D E T A i L S ]- . ./\ . - __./---'

Release Date : 2025-02-23

Publisher : Coursera
Title : Johns Hopkins University: Random Processes

Year : 2024
Month : October

Category : Data-Science
Language : English

Section : BOOKWARE
Files : 03 x 150 MB
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https://www.coursera.org/learn/random-processes

Probability and statistics provide an excellent tool for understanding,
modeling and communicating uncertainty in engineering systems. In many
applications there is the added challenge of considering random quantities
that vary over time and/or space. Examples can be found in seismic
applications, financial markets, heterogeneous materials, and image
processing, among many others. This course provides an introduction into some
of the ways in which random processes and random fields are measured,
quantified and communicated. Through video lectures, activities, and
interactive content, students will learn about correlation functions, spectral
density functions, local average processes and Monte Carlo simulation. There
will be an emphasis on understanding each concept, estimating these quantities
from data, and using this data as the basis for generating realistic sample
random processes.

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iF YOU HAVE ANYTHiNG TO OFFER
CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW
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GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE
STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE
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lernstuf [at] proton [dot] me
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