Markov Chains Clearly Explained! Part - 1

Let's understand Markov chains and its properties with an easy example. I've also discussed the equilibrium state in great detail.
#markovchain #datascience #statistics
For more videos please subscribe -
bit.ly/normalizedNERD
Markov Chain series -
• Markov Chains Clearly ...
Facebook -
/ nerdywits
Instagram -
/ normalizednerd
Twitter -
/ normalized_nerd

[@NormalizedNerd]

Since many of you are asking about the calculation of left eigenvector (π)...Here are the equations:

[@Cleisthenes2]

So are we getting pizza or what?

[@devanshzaveri2852]

Yr volume is tooo loww

[@angrybruce8262]

Mate, that is a good explanation! The only problem is that now I AM HUNGRY:)

[@Pravin.Shidore]

So they don't serve pizza on repeat.

[@slavak7729]

Blll blll blll. Happy hindu

[@how_about_naw]

Dude, you need to add a thanks button and let us buy you a coffee.

[@nshiba]

This is sooo easy to understand. I took atleast a month to learn this about 25 yrs back for my masters thesis work when I first learnt this subject. Now, I thought of revisiting this topic for my daughter's higher secondary project. 25 years have really brought a topic from masters to secondary school level and months of learning to a few minutes of a well prepared video. Thanks to your channel, TH-cam, Internet and technology in general. 🙏

[@patrick-zb6fx]

sir, why on the first column of transition matrix A ex : ( 0.2 + 0.6 + 0.2 ≠ 1 ) while the other columns is equal to 1 ?

[@rafaelmenna8384]

How can one write a Python program that randomly guess what a restaurant would serve? Maybe he did random.choice([Burger, pizza, hotdogs]) but dosen't it just goes 1/3 for each if not what will happen if we switch the index of two items?

[@JavokhirRahkimov]

Nice to make trades

[@counter-thought2226]

This is a lifesaver. I started a stochastics class last week with an almost nonexistent background in probability. I was completely troubled at first but after watching this video and reading through some course material, I can actually understand the exercises. Thank you.

[@karlrombauts4909]

This is such a fantastic video. It makes all the concepts very easy to understand without skipping important technical details. Thank you for making such a great resource!

[@DawgFL]

Thanks dude. It takes a whole nother level of intelligence to be able to break down a concept like this so anyone can understand it. I'm learning markov chains in class right now and when the professor teaches it it literally looks like an alien language to me, i almost broke down because i might fail the class. but im going to watch all ur videos and itll help me a lot.

[@aromalas5713]

Omg man this is such a great explanation. Loved the presentation, the animation and everything about it. Keep going!

[@willbutplural]

Wow great explanation that includes terminology, stationary states, and connections between adjacency matrices, directed graphs, and markov chains 👍 A+ thank you!

[@karannchew2534]

Note for my future revision.

[@kevingrillmastersteak4all986]

This video was really well constructed and interesting, in equal measure to being informative! Thank you Mr Nerd!

[@joemaxwell8361]

Got way more excited than I should have when I thought "hmm, that kinda looks like the eigen vectors..." AND THEN IT WAS.

[@akhilgoenka6817]

Found this awesome channel today. Fantastic visuals & crystal clear explanation. Subscribed!