Bayes Theorem
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8:47
Basic Rules of Probability (part 1)by bethjonesmath26,714 views- 1:31
Bayes Theorem with Mario Kartby brinstarhero4220,011 views
- 10:18
Bayes Theorem introduction: by Student Daveby TheScienceguy30006,144 views
- 2:28
Conditional Probability Part 1by UAMath1157,627 views
- 2:23
9+5+13-6=21by trailers4themass306,418 views
- 10:03
Bayes' Theorem Introductionby westofvideo33,269 views
- 87 videosstatistics
- 6:33
Example of Bayes Theoremby MathDoctorBob4,783 views
- 6:01
Introduction to Bayesian Inference 4/5by ousam20102,502 views
- 1:45
VIDEO TEOREMA BAYESby MORROCUCOY14,612 views
- 7:27
Bayes probabilityby profribasmat14x18,588 views
- 2:49
aprendiendo a utilizar el teorema de Bayesby Malejaperez4,621 views
- 14:52
(ML 7.1) Bayesian inference - A simple exampleby mathematicalmonk2,861 views
- 10:04
tutorial on Bayesian classification part1/3by superneobot11,289 views
- 7:42
bayes theoremby pomscm13,519 views
- 3:57
The Monty Hall Problem Explainedby axemurderer2713,507 views
- 3:46
B-A-Y-E-S-I-A-Nby tralu4,536 views
- 5:48
The Monty Hall Problemby niansenx780,786 views
- 6:43
Bayes' Theorem Part 2by UAMath1155,759 views
- 0:12
Total Probability and Bayes's Theoremby wolframmathematica1,235 views
The election example is bad, it's not Bayes'.
walawala147 1 month ago
i wonder if the election example is related to bayes' theorem?
it looks like estimating population proportions with sample proportions using normal distributions, which i learned to be a different issue
fazekaslaszlo 1 year ago
RIP Mr. Artner
ecomsys1984 1 year ago
@GetMeThere1 Yes, to get *accurate* estimates of the filter parameters, programmers could only realize it if they use Bayes' Theorem. That is the 'math' part that the presenter skipped over. Notice that when he said the sample votes were 7 Yes and 3 No, he said the prob of the overall vote being Yes was 89%. But if you just use a naive calculation, you might incorrectly estimate the prob as 7 / (7 + 3) = 7/10 = 70%. To get the correct value of 89%, you need Bayes' Theorem.
wonderist 1 year ago
Thanks for introducing a practical application of Bayes' Theorem!
PQK 2 years ago
I agree w/ GetMeThere1. The idea of multiple or accumulative criteria for discerning something must have existed before probably with no label. If a stranger came to town on a type of wagon, with a certain kind of sword with a certain accent with one or more types of currency etc. c'mon.
trombone7 2 years ago
it's not really statistics - it's probability
thelastwords 2 years ago
haha this is neither. its actually statistics
fakeaccount004 2 years ago
is this algebra or calculas?
hotelroyale100 2 years ago
Why irks me about something like this is that its totally OBVIOUS and common sensical. Do you mean to tell me that programmers could only REALIZE this if they had a TERM (Bayes Theorem) to work from?
So, if I were going to design a filter I'd say "Let's find a bunch of filterable parameters, and figure out how well it worked when 'x number' or 'y combination' of parameters 'hit.'"
And I wouldn't have to know ANYTHING about 18th century ministers.
GetMeThere1 3 years ago