I like his videos, probably the most intuitive way of teaching HMMs I found so far, but there are just too many distractions and interruptions that can be confusing.
Hey Sal, your voice changed, but your manner of speech remained the same. Also, I noticed your channel name changed... what's the deal? Did you get a haircut or something?
Good explanation Math wise. But seriously if you want to help bridge that gap for some people please give a real example. Talking only in math is like asking a native english speaker to understand a new concept when you only talk about it in spanish.
I have a question, if we continue multiplying the initial probability by the transition probability, because of the property of statistical equilibrium, we finally get to the stationary state, right? Can we conclude the same thing for these kinds of Markov Chains as well?
Basically we are trying to find what's the optimal path (i.e. the set of k-1 states) that lead to z_k= s_j (we should assume that we are given the state value=s_j at z_k) You should also watch the second part
mathematicalmonk,I'm following most of your video.Thanks for the great work.Could you tell me the name of the draw to text tool you used that you think might have been built on the basis of hmm.
way better than the terrible jumbled mess that got given to me in class slides. super intuitive and clear. thank you!
Thank you!. These videos helped me to understand. As you pointed out, most of the textbooks have very enigmatic explanations of all this.
I like his videos, probably the most intuitive way of teaching HMMs I found so far, but there are just too many distractions and interruptions that can be confusing.
Hey Sal, your voice changed, but your manner of speech remained the same. Also, I noticed your channel name changed... what's the deal? Did you get a haircut or something?
Ninosław Ciszewski lol
this is not Sal.
@@haoguoxuan411 I am sure that was sarcasm. Probably Sal was inspired by MathematicalMonk to do his videos in this style.
love your videos. You saving me from failing my bio infomatic course
can you upload video that describe the baum welch algorithm please?
Good explanation Math wise. But seriously if you want to help bridge that gap for some people please give a real example. Talking only in math is like asking a native english speaker to understand a new concept when you only talk about it in spanish.
Great videos!!
I have a question, if we continue multiplying the initial probability by the transition probability, because of the property of statistical equilibrium, we finally get to the stationary state, right? Can we conclude the same thing for these kinds of Markov Chains as well?
Yes
4:29 I see it now, thanks!
i love the viterbi algorithm!
Please explain it to me then guy from 10 years ago.
Is there a video with an example of the application of the algorithm to a real life problem?
One equation, many lines of code.
it is difficult to understand it without an example as you go on explaining the maths about it
At 7:30, Why you used 1:k-1 instead of 1:k?
Basically we are trying to find what's the optimal path (i.e. the set of k-1 states) that lead to z_k= s_j (we should assume that we are given the state value=s_j at z_k)
You should also watch the second part
I got it after watching second part. Thanks BTW. :)
mathematicalmonk,I'm following most of your video.Thanks for the great work.Could you tell me the name of the draw to text tool you used that you think might have been built on the basis of hmm.