hmm

[@rogerLaxman]

Best explanation of HMM so far ! Thank you Francisco.

[@ArminBishop]

I own you my exam. You are my saviour. Best explanation ever!!!

[@ojhurtado]

at minute 19, when calculating the pxi, I do not understand why it is a product of aij. Besides, the product has as variable t but aij has no t. The same for the observed oi. Either you made a mistake in the product index or there is something I don't understand. The probabilities I calculated are very low, for example: P(x1)=0.08, P(x2)=0.036 and P(x3)=0.012. Could you elaborate a little more? And another question: why is it hidden if you know the transition probabilities and also the number of states. Shouldn't it work only with the observed? Thank you. Omar (Buenos Aires).

[@daneelolivaw3579]

Clear and simple explanation of HMM. The best of what I have seen. Could you do one for Connectionist Temporal Classification? I believe it uses HMM as well.

[@victoriagaspar7230]

Hmmmm that’s sus

[@physicsmadness]

God bless u..amazingly intuitive video..thanks!

[@evgenydan4463]

Can we have the link to presentation please?

[@059812]

Thanks for the great video Francisco

[@mayankgarg4654]

I am almost at the end of the video.. and i have to say, you are the best teacher i have ever had. I was playfully enjoying all this complex mathematics as if this was nothing to be afraid of... and my sister came in beside me and got shocked at what the fuck i was actually studying which seemed so complex

[@andremiguel0]

Note that you have 0.4% when you meant 40%, for example.

[@kirkematlik2157]

I stopped going to AI lectures because you explain most of the topics so much better in shorter time. Amazing, thanks!

[@AdrianVrabie]

Fancisco! Great Introduction to HMM! :)

[@neilpradhan1312]

can you please send the link to access these slides

[@tarik8622]

Hi sir. First i am very thankful for the amazing tutorial. Secondly i wanna ask you a question what happens if i dont know the emission at time t ot. Which means that at time t i dont know the state of the dog neither its behavior. I already tried to resolve the problem and i want to ask your opinion. Best regards

[@samt1705]

Did you get the answer? My understanding is that you will need to know either one. Without that I don't think you'd be able to do the calculation.

[@samt1705]

At 10:59 he has listed things we can do with HMM

[@tarik8622]

I had a complex problem to model. My issue is that i dont know the observation and the emission at time t

[@alaaalshobaki1558]

Thank you Fancisco!, it was amazing explanation for HMM , but I wonder if there is a completion of this video

[@olsen99q]

hmmmmm.... 🤔

[@LinhLe-vb5jr]

i really love this explanation. Tks

[@shrinathjoshi704]

Great vedio.. How Can we download these slides?

[@MasayoMusic]

Yeah, I was wondering the same. I like to take notes on the slides itself.

[@arslanaliawan4724]

Danke Sehr

[@da_lime]

Thank you sir

[@yankli5452]

That's great