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...
-
31:02
Dr. Ajay Kumar PHD (he/him)
3 years agoN
40 -
57:16
Calculus Lectures
4 years agoMath4A Lecture Overview MAlbert CH3 | 6 Chain Rule
81 -
2:40
KGTV
4 years agoPatient information compromised
341 -
1:06:56
BonginoReport
10 hours agoThe Battle Between Good & Evil w/ Demonologist Rick Hansen - Hayley Caronia (Ep.168)
70.5K19 -
1:12:57
Kim Iversen
4 hours agoBill Gates Suddenly Says “Don’t Worry About Climate Change”?
65.2K35 -
1:05:12
Michael Franzese
4 hours agoI Waited 50 Years to Tell You What Happened on Halloween 1975
22.4K9 -
1:07:15
Candace Show Podcast
5 hours agoINFILTRATION: Charlie Kirk Was Being Tracked For Years. | Candace Ep 256
60.2K232 -
LIVE
Rallied
4 hours ago $1.32 earnedWarzone Solo Challenges then RedSec Domination
163 watching -
2:34:30
Red Pill News
6 hours agoBoomerang Time - DOJ Investigating BLM Fraud on Red Pill News Live
44.7K10 -
1:46:14
Roseanne Barr
6 hours ago“The Over Emotional Are Always Under Informed” | The Roseanne Barr Podcast #121
81.6K45