Having not taken any formal math class in college, this video really helped me to understand probability theory in AI for the masters class I'm in currently. Thanks for the great video!!!
I know not everyone is trying to do some graphics project and then procrastinates by watching AI videos on youtube, but still this is fairly well done and deserves some more views. Cheers!
The outcome, which is the probability of both events A and B occurring (P(a^b)), will be the same regardless of which equation you use to calculate it. The two equations are simply different expressions of the same concept, and they both yield the same result for the joint probability of A and B. So, P(a^b) will be the same whether you calculate it using P(b|a) * P(a) or P(a|b) * P(b)
Having not taken any formal math class in college, this video really helped me to understand probability theory in AI for the masters class I'm in currently. Thanks for the great video!!!
I know not everyone is trying to do some graphics project and then procrastinates by watching AI videos on youtube, but still this is fairly well done and deserves some more views.
Cheers!
is both of following the same ?
1- P(a^b)=P(b|a).p(a)
2- P(a^b)=P(a|b).p(b)
The outcome, which is the probability of both events A and B occurring (P(a^b)), will be the same regardless of which equation you use to calculate it. The two equations are simply different expressions of the same concept, and they both yield the same result for the joint probability of A and B. So, P(a^b) will be the same whether you calculate it using P(b|a) * P(a) or P(a|b) * P(b)