You all probably dont care at all but does someone know a method to get back into an Instagram account..? I somehow lost my password. I would appreciate any assistance you can give me!
@Davion Dean I really appreciate your reply. I got to the site through google and I'm in the hacking process now. I see it takes a while so I will get back to you later with my results.
No.... Without q0, we can compute only transition probabilities but not the state probability..... If we want to know the probability of states then q0 must be needed aa discussed in Lecture 2,3,4 respectively
When it is not mentioned which the previous state is i.e. we just know we want to go to "this" state, we'll use q0. Here, multiplying with q0 makes the obtained matrix the sum of probabilities as "A" to "A" + "B" to "A" +... in first location, "A" to "B" + "B" to "B"+... in second and so on. (Hope this didn't make it more confusing. If it did, skip this second line) When we know we want to go from "this" to "that" (both are mentioned) , we'll use p^n only.
Dear Dr. Harish do you see machine Learning, deep learning and reinforcement learning techniques as OR methods to solve markov process models please? Or they are under another category not OR?
This is the best explanation that i ever found on utube !!
After 2 days i have AI exam u save my many hours
Its my pleasure ... Kindly share with other students too so that they will also learn with the easiest manner. Keep watching anc sharing
You saved my End Semester Exam!
My pleasure
You all probably dont care at all but does someone know a method to get back into an Instagram account..?
I somehow lost my password. I would appreciate any assistance you can give me!
@Vance Joaquin instablaster =)
@Davion Dean I really appreciate your reply. I got to the site through google and I'm in the hacking process now.
I see it takes a while so I will get back to you later with my results.
What a great video tbh. Cleared all my queries.
Thanks to the author of the video
Excellent lecture professor
It's my pleasure
it's very good explanation
lov u sir. very clear lesson
Thank you very much sir🥰🥰
Super explained sir❤️❤️❤️❤️❤️❤️
Thanks.... My pleasure ... Happy learning
Thanks a lot .... it helped immensely
What a great video!!! Thank you!
Its my pleasure.... Keep watching other videos too... I am sure you will enjoy again.
@@DrHarishGarg I am and am going to !!!
Thanks sir ..❤️
Thanks alot sir
sir nice lectures helps me a lot .....thx
My pleasure always... Keep watching and sharing with others too
Many thanks....
Join my telegram link of Probability and Statistics
t.me/gargProbability
Thank you Sir...helped a lots
Thankyou profesor
Very nice explanation
great explanation. Thanks
My pleasure.... Keep watching and sharing.
Really osm ❤️
My pleasure.... Keep sharing
Sir 1st example ans 5/16 sir according to the previous video
Best explanation ever 😊
Thank you
You're welcome 😊
Nice explanation sir!!!
Thanks
is this the case of absorbing chains?
In example 10, if the individual "qo" was not given we still could have solved for all the parts only using "P" matrix? is that right?
No.... Without q0, we can compute only transition probabilities but not the state probability..... If we want to know the probability of states then q0 must be needed aa discussed in Lecture 2,3,4 respectively
Prof. Harish, which software are you using to make the slides, PowerPoints? I like the pen. Thank you very much
Yes
can u do tutorial of MARKOV CHAIN LOTTERY..thank you Dr. Harish Garg
when do we use the formula (q0 * p^n) and just p^n
When it is not mentioned which the previous state is i.e. we just know we want to go to "this" state, we'll use q0.
Here, multiplying with q0 makes the obtained matrix the sum of probabilities as "A" to "A" + "B" to "A" +... in first location, "A" to "B" + "B" to "B"+... in second and so on. (Hope this didn't make it more confusing. If it did, skip this second line)
When we know we want to go from "this" to "that" (both are mentioned) , we'll use p^n only.
Nicely explained
Thanks for liking. Keep watching the next part also
sir best explanation , but sir please work on your english , your channel will automatically grow
3:48 Shouldn't it be P(0,3) bcs we are starting from 0 to 3
We are starting from 1
Sir y don't we use formula q° that one
Prof
Is this true
P{X2=1 , X3=2|X1=0}=P{X3=2|X1=0 ,X2=1}=P{X3=2|X2=0}
Dear Dr. Harish do you see machine Learning, deep learning and reinforcement learning techniques as OR methods to solve markov process models please? Or they are under another category not OR?
All are under the advanced operations research
How can I got formula qn = q0P^n ?
Use q(n) =q(n-1)P , you can derive q(n) =q(0)P^n
@@DrHarishGarg sorry but ,then how can I got this sir...
Ok
No problem, i will elaborate For example, if n=3
q(3)=q(2)P
= [q(1)P]P
=q(1) P^2
= [q(0)P] P
= q(0) P^3
@@DrHarishGarg thanku sir
My pleasure...
Happy learning
👍👍
sir can you provide these slides?
Explanation is super but video is not clarity
Thanks for the suggestion... I will take care
If we are talking about 4 steps, then isnt it qoP⁴ as we done in session no 1
Very nice explanation