Markov Models | Markov Chains | Markov Property | Applications | Part 1

[@DataBeach]

Simple. Clear. Straight. Thanks for posting. I understand the subject better.

[@shwetan1250]

Thank you sir for explaining in very easiest way .

[@kaushalkumar3017]

AWESOME..........Realy you made it very easy to understand ... Thanks a lot.

[@binodsuman]

You are welcome, Kaushal !!

[@srinivaskedarisetty3437]

Its very easy to understand... in 20 mts i could grasp.. Nice , steady, good approach of explaination. Step by Step .. Its too good..

[@binodsuman]

Your feedback really do motivate me lot. Keep posting your feedback to improve upcoming videos. Thanks again Srinivas !!

[@ImPushpendraPal]

sir your teaching style is good. Thanks for this topic.

[@supriyam2945]

clearly explained videos....kudos...especially HMM , decoding ... I really appreciate you...

[@binodsuman]

Thanks for nice words and it really motivate me lot. Glad to know Markov Models, Markov chain and Hidden Markov Model video helped you to learn. Keep Learning !!

[@srisrinivas9873]

Explained in a very lucid way

[@binodsuman]

Thank you Srinivas. Glad to know that Markov Models and Markov Chains video you liked.

[@shivammaurya3463]

sir next level of explanation , execellent sir

[@anuragbari9535]

Just awesome sir ji.... 👏👏👏👏👏👏

[@srikanth1107262]

Very well explained. Appreciate you for sharing this. Thank You Suman.

[@binodsuman]

Thank you so much Srikanth, you nice feedback motivate me lot.

[@mn3465]

Superbly explained Sir . Thank you.

[@binodsuman]

Thank you Malini. Nice to know that Markov Model tutorial video helped you. Keep Learning !!

[@cryptobaba347]

Very good explanation in less time...

[@sudhirsethi497]

You are awesome. Simple and still the great explanation.

[@binodsuman]

Thank you Sudhir for nice words. I tried my best to make complex concept to simple one. Keep learning !!

[@maheshreddy2172]

Awesome teaching sir

[@binodsuman]

Glad to hear Mahesh, this Markov Models Chain videos Tutorial series helped you. Keep Learning !! @binodsumanacademy

[@lalaneverquit]

thank you very much. Very nice and detailed explanation.

[@ganeshdeshpande5780]

Nice and easy explanation

[@ramendrachaudhary9784]

Very nicely explained. Please keep the camera steady.

[@anjansaha5]

Superb content and explanation.

[@neelusharma12]

You are awesome sir in explaining even the complex things in a a very simple way !!! Thank you.

[@bettynyaga2184]

very clear explanation !

[@Nil_money]

Thank you Sir for explaining the concepts in that easy way. Please make videos on speech recognition.

[@binodsuman]

Thanks Satyam for your nice words !! I do have plan to make some video on speech recognition.

[@PranitKothari]

Nicely explained!

[@binodsuman]

Happy to hear Mr. Pranit, this HMM Markov Model videos Tutorial series helped you. Keep Learning !! @binodsumanacademy

[@ramanshaw8285]

Getting addicted to your videos as you cover the complex topics in most simplistic way possible. I would really appreciate if you can extend this NLP playlist with some deep learning implementations. Thank You!

[@binodsuman]

Thanks Raman for your appreciation words. This is my plan to add more videos in NLP playlist and really glad to know that Markov Model, Markov Chain and Hidden Markov Model videos helped you.

[@tamannakhan6198]

How you calculated initial State distribution?

[@sanjaymundra6473]

Very simple and nice explanation. Try to keep the video camera at fix zoom (if possible)

[@abhishekbhatti1195]

Sir, great explanation....appreciable...just one issue...please change your cameraman (keeps changing focus...which breaks the focus)

[@pawanchoure1289]

NICE

[@binodsuman]

Thank you, Pawan !!

[@ankitasinha1763]

nicely explained!!!!!!

[@vasudev3744]

consider not moving camera in between video as it makes difficult to focus else everything is good

[@binodsuman]

Thank you for your feedback, will improve in upcoming videos. Keep Learning !!

[@MrPrincemohanty]

Super...

[@shubhamagarwal2998]

My teacher should learn from u xd

[@vishakashetty4546]

just love your videos!!.. please keep posting more such videos, it also motivates us to study more.. :)

[@arazsharma4781]

Thank you so much, sir, was a very clear and great explanation! :D God bless you :))!

[@uditpanjiyar3203]

thank you sir

[@HassanAli-yn4wi]

Sir i have one question about this
Q# Initnal state distribution value given in question or not ?
like you write pi={0.7,0.25,0.05}

[@binodsuman]

You will get in question Papper.

[@senaguven415]

Thank you so much!!

[@himanshuchitranshi957]

could you please also recommend some good NLP text books?

[@sangitawarade]

hello sir, how the future probability is decided , how future probabilities are significant or true to authentic solution

[@binodsuman]

Those initial probability, Transition matrix and Emission matrix are based on previous historical data. Please watch Markov Model Nemerical video ua-cam.com/video/J3spiIV7B6k/v-deo.html
Thank you Sangita !!

[@akashkhunt4191]

Aren't all the state mutually exclusive? If so how future state depends on current state? It should be based on probability distribution of the states

[@vinaypathak9142]

A good explanation screwed up by the camera guy....keep the video still

[@engineer5851]

How initial state distribution you have not explained

[@tamannakhan6198]

Did you find it?

[@Blackoutfor10days]

Bengali ho ?

[@sudip7949]

camera not shaken enough

[@nitinkumar5974]

who is camera man

[@pradeepkumar9586]

Binod.