CRITICAL THINKING - Fundamentals: Bayes' Theorem [HD]
In this Wireless Philosophy video, Ian Olasov (CUNY) introduces Bayes' Theorem of conditional probability, and the related Base Rate Fallacy.
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Пікірлер: 248
Best simple presentation of Bayes' Theorem I've seen so far. Thanks for the video.
I prefer Baye’s theorem as P(A|B)*P(B)=P(B|A)*P(A) Easy to remember and symmetric. And it’s also helpful because sometimes it’s the conditional probability you’re solving for
@trs_4612
4 жыл бұрын
i can't start to imagine a venn diagrams with more than 5 circles. also think about conditional probability for that!!!
Could u guys make two videos that explain Gödel's incompleteness theorems without too much details, but detailed enough to understand the idea?
There are a lot of good Bayes videos out there with all the boxes and explanations. This one just cuts straight to the point and gives a very simple example that we can relate to. Excellent.
That was a really understandable example. Though terms like "P of H given E" and "P of E given H" mess up my head. WIll you be making a video on how this relates to the philosophy of science?
Have spent too much time searching for resources to break down and explain this theorem; this 6 minute video trumps all. Well done and thanks Ian.
The Best and most straightforward explanation that I have seen. There are so many videos out there...very confusing.
@WirelessPhilosophy
Жыл бұрын
Glad it was helpful!
You did a great job of introducing this theory. You have the right talents to do well with these kinds of videos.
This was a fantastic video. I'm going to a CUNY school for undergrad and this video makes me proud of it :)
Omg! ian im an atty assistant to a nys supreme ct. Justice. I've never taken a probability/statistics class. My judge has a matter pending before him right now which amongst other science related topics, involves Bayesian probability. Well thanks to you and this amazing video [unlike others I've watched this week, fruitlessly ] I get it now, I get it now!!!!! You are now one of my heroes- a gold medalist MATHLETE. Thank you and good luck and much success in your studies and in all of your endeavors. 😊 now let's cure Hypothesitis!
Great Video!!! Have been struggling to understand this concept but you have made it simple and clear for me. Thank you so much!! :)
Very nice video, i recently went to a presentation about the power of evidence in criminal law and they used Bayes' Theorem to calculate the power of the evidence. Liked and subbed
I currently study entry-level data science, and this is reall helpful. Thanks a lot for the video. BTW, can you let me know what video editing tools did you use to make this?
Fantastic vid, Ian is great at explaining the concept
Great explanation, this video has been the most helpful to me all the vids on this topic I've seen and the video length is perfect too.
The BEST presentation of the concept I have seen so far; thanks a ton!
Thanks a really informative and explanatory video for beginners in Bayes' Theorem! Keep up the good job
I've a bunch a videos online trying to explain Bayes Rules. This one is the best I've seen so far. If you guys have a problem with this video you should see some of the other stuff out there.
this was excellent. I was reading a paper recently and it used P(E|H) with those letters representing Evidence and Hypothesis, just like this video uses, but I couldn't understand how to interpret that proposition. this was very helpful for that piece I happened to run into, let alone explaining the theorem itself.
Beautiful video! Really helped me conceptualize what is actually going on here. Although I think I may have hypothesitis now.
Outstanding! Thanks for the help.
After watching many videos on this concept and pulling my hair off, finally ended with this best explanation video. Thanks ❤
@WirelessPhilosophy
Жыл бұрын
Glad it helped!
Great video and easy to understand explanation. Thank you for creating.
Absolutely so cool. A tool looking specifically at the situation where we grant that we don’t know whether something is true.
What will be the P(E | H) and P(E) values if we try out Sally and the flu example?
Short but not an insufficient to understand Great lecture, simply wow teaching 👌👍
11 years after taking the IIT Entrance exam... finally, today I understood what it is.. thanks... 😂😁😊
great visuals and liked the simplicity of the explainations
Excellent video! Thank you for breaking it down!!!
Thanks, that was admirably clear and concise!
An awesome video, very clear and concise!
my professor used this video !, wonderful
Best explanation I have seen so far!
This made me comprehend it more, thank you!
Thanks for the clear explanation :)
I believe I finally understand Bayes after this video!! Thanks
Did you actually explained how the formula is derived? I can't see that, just plain "put you values inside this black box".
ty. first video on the topic that didn't give me a headache
critical thinking should be taught to children. as a child i ALWAYS searched for this, never found it. no teacher ever knew what i was asking for. there was no internet like it is now back then. it wasnt until after college i actually indulged in critical thinking and studying it. the world would be a much better place if children would understand these terms.
Incredibly helpful - thank you!
Excellent approach. Thank You!
That's a really good explanation. Thank you!
thanks for the vid. i need this for my demo teaching
Thank you for the excellent explanation!
thanks it is so insightful to know this theorem
I always enjoy seeing how the logic that I use pretty much without realizing why can be broken down and explained so that other people who don't possess the same quality of innate faculties can have it explained to them.
This is a perfect explanation!
How is P(H) discovered? How do they know how common Hypothesitis is in the general population? Especially since no test for Hypothesitis is 100% accurate. Is the data collected via autopsies?
thumbs up! short and effective intro to Bayes Theorem
@WirelessPhilosophy
Жыл бұрын
Glad you liked it!
Found the video really useful Explanation was really good.
Beautifully done video
Thanks for the video.very well-explained.
Really useful. Excellent video
Very well explained and clear thanks
Great vid. Watch this vid after working through/with the multiplication rule of independence for at least a little bit.
Thanks man, you very well explained it , thanks a lot.
Just awesome! Thanks a lot!
if the syntoms are cleary visible shoudnt p(e|h) be 1 ? if you see its very likely to get a dripy nose and headache shouldnt p(e) be high ?
Very cool, thanks!
Thanks very much for fantastic explanation :)
Excellent and clear cut explanantion . Thanks
This is great. Thank you!
You explained it really well ..
Excelemt! it is the clearest explanation for me.
That was terrific. Thank you very much!
Very good video!
This would be useful for society to remember this, right now!
First video I finally understood!!
Your handwriting is godly.
Great video, thanks!
superb illustration....
Excellent !!!
Thank you for sharing, this is a nice video.....
what if the resulting probability after the calculation is greater than one, is this valid?
This is amazing.
That was great thanks!
If it's the case that someone has a flu and recovered later on, or that someone has passed on the flu, or even the number of students will change as the time pass, can we say that probability is inaccurate? Is probability relates to judgement under closed and static conditions with prior sufficient knowledge? But if this is the case, how can we apply probability in the changing, unpredictable real world?
awesome .. explanation take a bow
If the P(H given E) = 0.00095, does that mean that (1-0.00095)=0.99905 is the P(not H given E) and thus, it's very unlikely that one has H given E, and very likely that one does not have H given E?
fantastic video
What software did you use to create this?
I get it now! Thank you!
Great stuff . Couldn't have explained better (y)
Excellent, Thanks
this makes a lot of sense. thx
I have an exam in a matter of hours. You saved me! thank you:)
@promise7407
3 жыл бұрын
How’d you do?
@2.0_two5
3 жыл бұрын
@@promise7407 I did really well, thank you!!
Thank you!
I have to ask a question that will be phrased somewhat awkwardly, so excuse me. If we view P(AlB) as stated, "The probability of A so long as the probability of B is 1," could we likewise make a weighted version of such a function where likelihood of B is increased to a number, call it P(B') ----> P(A)lP(B')=P(AlB)(1-(P(B)-P(B'))? Have I made a mistake somewhere or does this exist to be true?
Excellent!
it's so cool , great explaination =))
I don't know why, but something of the wording in this explanation made it click for me. I think that it was using the term "evidence" instead of event. In explanations that I've heard previously, I was confused why we were dividing by the probability of an event occurring when the problem setup said explicitly that we don't know how often it occurs. The term "evidence" made more sense.
Thanks, nice video!
Nice man. God bless you
Excellent. Thanks.
i love the comments here.....very thought provoking
wow ... good method to teach wireless philosophy.
super thala, kalakitenga, super good
amazing
amazing!
very helpful, Cheers