Premium Only Content
This video is only available to Rumble Premium subscribers. Subscribe to
enjoy exclusive content and ad-free viewing.
Chain Rule of Joint Entropy | Information Theory 5 | Cover-Thomas Section 2.2
4 years ago
16
H(X, Y) = H(X) + H(Y | X). In other words, the entropy (= uncertainty) of two variables is the entropy of one, plus the conditional entropy of the other. In particular, if the variables are independent, then the uncertainty of two independent variables is the sum of the two uncertainties.
#InformationTheory #CoverThomas
Loading comments...
-
12:26
Dr. Ajay Kumar PHD (he/him)
3 years agoBitcoin is Obvious | Euclid's Elements Book 1 Prop 41
13 -
57:16
Calculus Lectures
4 years agoMath4A Lecture Overview MAlbert CH3 | 6 Chain Rule
81 -
2:40
KGTV
4 years agoPatient information compromised
341 -
1:31:56
Michael Franzese
19 hours agoWill NBA do anything about their Gambling Problems?
119K26 -
57:26
X22 Report
9 hours agoMr & Mrs X - The Food Industry Is Trying To Pull A Fast One On RFK Jr (MAHA), This Will Fail - EP 14
93K60 -
2:01:08
LFA TV
1 day agoTHE RUMBLE RUNDOWN LIVE @9AM EST
149K12 -
1:28:14
On Call with Dr. Mary Talley Bowden
7 hours agoI came for my wife.
27.9K32 -
1:06:36
Wendy Bell Radio
12 hours agoPet Talk With The Pet Doc
66.6K32 -
30:58
SouthernbelleReacts
3 days ago $9.08 earnedWe Didn’t Expect That Ending… ‘Welcome to Derry’ S1 E1 Reaction
45.5K10 -
13:51
True Crime | Unsolved Cases | Mysterious Stories
5 days ago $20.15 earned7 Real Life Heroes Caught on Camera (Remastered Audio)
61.5K17