Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Part 2: http://www.youtube.com/watch?v=jtHBfLtMq4U
In this video, I discuss Markov Chains, although I never quite give a definition as the video cuts off! However, I finish off the discussion in another video!
This video gives a 'real life' problem as some motivation and intuition, as well as introduces a bit of terminology.

Views: 542545
patrickJMT

PROBABILITY AD QUEUEING THEORY TUTOR VIDEO

Views: 7236
ENGINEERING MATHS TUTOR TAMIL

MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013
View the complete course: http://ocw.mit.edu/18-S096F13
Instructor: Choongbum Lee
*NOTE: Lecture 4 was not recorded.
This lecture introduces stochastic processes, including random walks and Markov chains.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 249018
MIT OpenCourseWare

explanation of stochastic process and a markov process by Vamsidhar Ambatipudi at pacegurus.com For more details call + 91 9848012123 or mail at [email protected]

Views: 15599
Vamsidhar Ambatipudi

Probability Theory and Applications by Prof. Prabha Sharma,Department of Mathematics,IIT Kanpur.For more details on NPTEL visit http://nptel.ac.in.

Views: 20296
nptelhrd

This example demonstrates how to solve a Markov Chain problem.

Views: 44717
Mike Bartlett

Visit http://ilectureonline.com for more math and science lectures!
In this video I will find the stable probability and distribution matrix, 3x3 matrix.
Next video in the Markov Chains series:
http://youtu.be/87u7a2XGq1s

Views: 26223
Michel van Biezen

Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Markov Chains - Part 7 - Absorbing Markov Chains and Absorbing States.
In this video, I introduce the idea of an absorbing state and an absorbing Markov chain. I use a some transition diagrams to determine if a transition matrix corresponds to an absorbing Markov chain.

Views: 86065
patrickJMT

Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Part 5 http://www.youtube.com/watch?v=-kwnnNSGFMc
Markov Chains , Part 4.
Here we begin looking at regular matrices and regular Markov chains. I examine 3 matrices to determine which are regular.

Views: 124444
patrickJMT

Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Part 4: http://www.youtube.com/watch?v=31X-M4okAI0
Markov Chains, Part 3.
In this video, I look at what are known as stationary matrices and steady-state Markov chains. We illustrate these ideas with an example. I also introduce the idea of a regular Markov chain, but do not discuss them in depth (I discuss them in the next video).

Views: 184534
patrickJMT

In this video I describe a basic Discrete Markov Chain (http://en.wikipedia.org/wiki/Markov_chain) using as an example the state of a student during a lecture. I also demonstrate the basic calculations made during this video with a
bit of sage code that is fully interactive and free to use at http://goo.gl/ry3ao

Views: 84471
Jason Young

Using Markov chain model to find the projected number of houses in stage one and two.

Views: 10697
Anmar Kamil

Describes the use of Markov Analysis in the Human Resource Planning Process.

Views: 89145
Nancy Bereman

Visit http://ilectureonline.com for more math and science lectures!
In this video I will introduce Markov chains and how it predicts the probability of future outcomes.
Next video in the Markov Chains series:
http://youtu.be/3P8ZIIYgpvc

Views: 24777
Michel van Biezen

The videos covers two definitions of "stochastic process" along with the necessary notation.

Views: 29797
Stochastic Processes AAU

probability queueing theory/random process lecture video

Views: 25876
ENGINEERING MATHS TUTOR TAMIL

Textbooks:
https://amzn.to/2VgimyJ
https://amzn.to/2CHalvx
https://amzn.to/2Svk11k
In this video, I'll introduce some basic concepts of stochastic processes and Markov chains.
----------------------------------------
Smart Energy Operations Research Lab (SEORL): http://binghamton.edu/seorl
YOUTUBE CHANNEL: http://youtube.com/yongtwang

Views: 35359
Yong Wang

This part of the presentation describes the mathematical models that can be used for reliability analysis: Markov chains and Petri nets.
See also my blog: http://dependablesystem.blogspot.com

Views: 10768
Andrey Morozov

MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
View the complete course: http://ocw.mit.edu/6-041SCF13
Instructor: Kuang Xu
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 22716
MIT OpenCourseWare

Thank you friends to support me
Plz share subscribe and comment on my channel and Connect me through
Instagram:- Chanchalb1996
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Unaccademy profile link :- https://unacademy.com/user/chanchalb1996
Telegram link :- https://t.me/joinchat/AAAAAEu9rP9ahCScbT_mMA

Views: 1652
study with chanchal

MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
View the complete course: http://ocw.mit.edu/6-041SCF13
Instructor: Qing He
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 18173
MIT OpenCourseWare

www.vosesoftware.com.
ModelRisk is the most advanced risk modeling software in the world.
To download your 30 day free trial, please visit: www.vosesoftware.Com/trial.php

Views: 19977
Vose Software

The course deals with how to simulate and analyze stochastic processes, in particular the dynamics of small particles diffusing in a fluid.
Take this course free on edX: https://www.edx.org/course/stochastic-processes-data-analysis-kyotoux-009x#!
ABOUT THIS COURSE
The motion of falling leaves or small particles diffusing in a fluid is highly stochastic in nature. Therefore, such motions must be modeled as stochastic processes, for which exact predictions are no longer possible. This is in stark contrast to the deterministic motion of planets and stars, which can be perfectly predicted using celestial mechanics.
This course is an introduction to stochastic processes through numerical simulations, with a focus on the proper data analysis needed to interpret the results. We will use the Jupyter (iPython) notebook as our programming environment. It is freely available for Windows, Mac, and Linux through the Anaconda Python Distribution.
The students will first learn the basic theories of stochastic processes. Then, they will use these theories to develop their own python codes to perform numerical simulations of small particles diffusing in a fluid. Finally, they will analyze the simulation data according to the theories presented at the beginning of course.
At the end of the course, we will analyze the dynamical data of more complicated systems, such as financial markets or meteorological data, using the basic theory of stochastic processes.
WHAT YOU'LL LEARN
Basic Python programming
Basic theories of stochastic processes
Simulation methods for a Brownian particle

Views: 3779
edX

In this video, we take a particular example and look at the transition matrix for a Markov Process.

Views: 40765
William Lindsey

This video shows how to calculate the steady state distribution for a given matrix of Markov transition probabilities.

Views: 10545
Constantin Bürgi

Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Markov Chains - Part 6 - Applied Problem for Regular Markov Chains.
Here I simply look at an applied word problem for regular Markov chains. There is nothing new in this video, just a summary of what was discussed in the past few, in a more applied setting.

Views: 79015
patrickJMT

MathsResource.github.io | Stochastic Processes | Markov Chains

Views: 9993
Maths Resource

Markov models are a useful scientific and mathematical tools. Although the theoretical basis and applications of Markov models are rich and deep, this video attempts to demonstrate the concept in a simple and accessible way by using a cartoon.

Views: 52024
Lane Votapka

In Part 1 of this Coding Challenge, I discuss the concepts of "N-grams" and "Markov Chains" as they relate to text. I use Markova chains to generate text automatically based on a source text.
Programming from A to Z - Markov Chains URL: http://shiffman.net/a2z/markov
Part 2: http://youtu.be/9r8CmofnbAQ
Support this channel on Patreon: https://patreon.com/codingtrain
Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics
Contact: https://twitter.com/shiffman
GitHub Repo with all the info for Programming from A to Z: https://github.com/shiffman/A2Z-F16
Links discussed in this session:
Google's Ngram Viewer: https://books.google.com/ngrams
n-gram on Wikipedia: https://en.wikipedia.org/wiki/N-gram
Chris Harrison's Web Trigrams: http://www.chrisharrison.net/index.php/Visualizations/WebTrigrams
Allison Parrish's(https://twitter.com/aparrish) Generative Course Descriptions: http://static.decontextualize.com/toys/next_semester?
Allison Parrish's website: http://www.decontextualize.com/
Michael Walker's King James Programming: http://kingjamesprogramming.tumblr.com/
Victor Powell's Markov Chains Explained: http://setosa.io/ev/markov-chains/
Flooper's Perlin Noise song: https://soundcloud.com/fl00per/perlin-noise
Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code
p5.js: https://p5js.org/
Processing: https://processing.org
For More Programming from A to Z videos: https://www.youtube.com/user/shiffman/playlists?shelf_id=11&view=50&sort=dd
For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
Help us caption & translate this video!
http://amara.org/v/Ya4j/

Views: 36140
The Coding Train

Markov Matrices
Instructor: David Shirokoff
View the complete course: http://ocw.mit.edu/18-06SCF11
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 95550
MIT OpenCourseWare

Textbooks:
https://amzn.to/2VgimyJ
https://amzn.to/2CHalvx
https://amzn.to/2Svk11k
In this video, I'll talk about how to calculate the steady-state distribution of an ergodic Markov chain and use it for decision making.
----------------------------------------
Smart Energy Operations Research Lab (SEORL): http://binghamton.edu/seorl
YOUTUBE CHANNEL: http://youtube.com/yongtwang

Views: 6436
Yong Wang

https://gist.github.com/jrjames83/7f2b5466182b4add94f80dc06f170ee9
A Markov chain has the property that the next state the system achieves is independent of the current and prior states. We take a look at how long we run out of gambling funds during the following scenario:
- $1.0 bet on heads (always heads)
- $10 starting capital
- How many flips until our gaming funds are gone
We run this trial 500x using python's standard library random.random() function, then Numpy's. Not surprisingly, Numpy's runs much more quickly and gives a more conservative estimate of the number of turns it will take. My theory is that Numpy's random algorithm is less deterministic, but I cannot be sure.

Views: 1732
Jeffrey James

This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at https://www.udacity.com/course/ud810

Views: 36069
Udacity

A lecture series for hidden markov model in bioinformatics

Views: 27361
AMIT SINGH

MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010
View the complete course: http://ocw.mit.edu/6-041F10
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 186822
MIT OpenCourseWare

Visit http://ilectureonline.com for more math and science lectures!
In this video I will demonstrate the basics of method 2 of solving Markov chain problems.
Next video in the Markov Chains series:

Views: 3618
Michel van Biezen

We introduce Markov chains -- a very beautiful and very useful kind of stochastic process -- and discuss the Markov property, transition matrices, and stationary distributions.

Views: 80792
Harvard University

Physical Applications of Stochastic Processes by Prof. V. Balakrishnan,Department of Physics,IIT Madras.For more details on NPTEL visit http://nptel.ac.in

Views: 36922
nptelhrd

Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Markov Chains - Part 8 - Standard Form for Absorbing Markov Chains. Ok, so really we are finding standard form for the TRANSITION matrix associated with a Markov chain but I thought this title would help people find the video easier. We will use the standard form to find the limiting matrix.

Views: 63254
patrickJMT

20% Off Annual Premium Subscription For The First 36: https://brilliant.org/doonline
The Curiosity Box: https://www.curiositybox.com/
Vsauce PO Box: PO Box 33168
L.A. CA 90033
***Click "SHOW MORE" for links to DONGs***
Brilliant Links
https://brilliant.org/wiki/markov-chains/
https://brilliant.org/wiki/machine-learning/
How Human Are You
http://howhumanareyou.com
Info On Predictive Text
https://lifehacker.com/how-predictive-keyboards-work-and-how-you-can-train-yo-1643795640
Subreddit Simulator
https://www.reddit.com/r/SubredditSimulator/
Botnik
http://botnik.org
Visualized Markov chains
http://setosa.io/ev/markov-chains/
DADABOTS computer music
https://dadabots.bandcamp.com/album/bot-prownies
More Info On Dadabots:
https://www.youtube.com/watch?v=3pRR8OK4UfE
The Shaggs
https://www.youtube.com/watch?v=hxPsXPCR5MU
Human Extinction (6:01)
https://www.youtube.com/watch?v=qXXZLoq2zFc
Angelina Game
http://www.gamesbyangelina.org/games/
http://www.gamesbyangelina.org/whatis/
More Info On Angelina
https://www.youtube.com/watch?v=sz0hn3FXTwc
Beneath Apple Manor
https://archive.org/details/msdos_Beneath_Apple_Manor_1978
***CREDITS***
Hosted by
Jake roper
Written and Edited by
Jack Merline
VFX by
Eric Langlay
(http://youtube.com/ericlanglay)
Music by Jake Chudnow
(http://youtube.com/jakechudnow)
***VSAUCE LINKS***
Vsauce1: http://youtube.com/vsauce1
Vsauce2: http://youtube.com/vsauce2
Vsauce3: http://youtube.com/vsauce3

Views: 292817
DONG

Textbooks:
https://amzn.to/2VgimyJ
https://amzn.to/2CHalvx
https://amzn.to/2Svk11k
In this video, I'll talk about how to calculate the n-step transition probabilities of a Markov chain.
----------------------------------------
Smart Energy Operations Research Lab (SEORL): http://binghamton.edu/seorl
YOUTUBE CHANNEL: http://youtube.com/yongtwang

Views: 10032
Yong Wang

Follow me on Twitter @amunategui
Check out my new book "Monetizing Machine Learning": https://amzn.to/2CRUOKu
We apply Markov Chains to map and understand stock-market behavior using the R programming language. By using 2 transition matrices instead of one, we are able to weigh the probability of a binary outcome.
Blog entry: http://amunategui.github.io/markov-chains/index.html
Note - workaround fix added from reader - Dysregulation - thanks for that!
Follow me on Twitter https://twitter.com/amunategui
and signup to my newsletter: http://www.viralml.com/signup.html
More on http://www.ViralML.com and https://amunategui.github.io
Thanks!

Views: 19169
Manuel Amunategui

Introduction to Markov chains
Watch the next lesson: https://www.khanacademy.org/computing/computer-science/informationtheory/moderninfotheory/v/a-mathematical-theory-of-communication?utm_source=YT&utm_medium=Desc&utm_campaign=computerscience
Missed the previous lesson? https://www.khanacademy.org/computing/computer-science/informationtheory/moderninfotheory/v/how-do-we-measure-information-language-of-coins-10-12?utm_source=YT&utm_medium=Desc&utm_campaign=computerscience
Computer Science on Khan Academy: Learn select topics from computer science - algorithms (how we solve common problems in computer science and measure the efficiency of our solutions), cryptography (how we protect secret information), and information theory (how we encode and compress information).
About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to Khan Academy’s Computer Science channel: https://www.youtube.com/channel/UC8uHgAVBOy5h1fDsjQghWCw?sub_confirmation=1
Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy

Views: 170334
Khan Academy Labs

Find the steady-state probability of an irreducible Markov chain - application of linear algebra.

Views: 15758
Miaohua Jiang

In this video we have explain the basic concept of hidden markov model in machine learning
visit our website for full course
www.lastmomenttuitions.com
Ml full notes rupees 200 only
ML notes form : https://goo.gl/forms/7rk8716Tfto6MXIh1
Machine learning introduction : https://goo.gl/wGvnLg
Machine learning #2 : https://goo.gl/ZFhAHd
Machine learning #3 : https://goo.gl/rZ4v1f
Linear Regression in Machine Learning : https://goo.gl/7fDLbA
Logistic regression in Machine learning #4.2 : https://goo.gl/Ga4JDM
decision tree : https://goo.gl/Gdmbsa
K mean clustering algorithm : https://goo.gl/zNLnW5
Agglomerative clustering algorithmn : https://goo.gl/9Lcaa8
Apriori Algorithm : https://goo.gl/hGw3bY
Naive bayes classifier : https://goo.gl/JKa8o2

Views: 43257
Last moment tuitions

presented by Dr. David Kipping (Columbia)

Views: 48527
Sagan Exoplanet Summer Workshop

PROBABILITY AND QUEUEING THEORY/RANDOM PROCESS

Views: 5312
ENGINEERING MATHS TUTOR TAMIL

Time-series is one of the most interesting areas of statistics as a lot of real world problems are related to time. In this video I will lay the ground work for terminology and basics concepts such as stochastic processes, categorical vs time-series data, exogenous and endogenous variable, static vs dynamic models, and a bunch of other ideas. While this video will seem simple these ideas are crucial for future videos which will use these to extrapolate more complex ideas and math.
Business vs Statistical Analytics: Concept Overview (TS E1): https://youtu.be/hvxQphdRzUQ
Support this channel:
https://streamlabs.com/dimitribianco

Views: 917
Dimitri Bianco