Great work, I thought. You did what you set out to do: a non-technical explanation of MC and its uses and concerns. Much appreciated (a breath of fresh air, really, considering other materials out there that attempt to do this but miss mark). Thanks for putting this together.
Alon, I found this really helpful, so thank you very much. I want to use MC to explore why it is said that calibration standards should be four times "as accurate" as what they are testing. I want to test all the way from 10:1 to 1:1 and see the results. In the traditional world, there is not nearly enough data to accomplish this task. I will post on LinkedIn, so lets become colleagues!
Thank you very much , I am studying a scientist Master , Working on waves , it was so interesting to understand Monte Carlo throw your video , I would like to ask you if you Have any Examples that would show us How we can read the results from the simulation , aheading to make a good report , and reasonable facts from it .. thanks again
Hey Hassan. Simulation results can be analyzed with Descriptive Statistics. The Khan Academy has a great intro to this topic: www.khanacademy.org/math/probability/descriptive-statistics
Thank you for the video. If we know the answer or we have the desired measure, then what is the point of doing Monte Carlo? Also is there any software that we can do this type of simulation without writing codes?
hey Jon, I understand that learning to code can be hard but it is the best way to run monte carlo simulations. You can try with MS Excel to sharpen your skills before using R or python.
Hello, im sorry i cant get the difference in your 22:15 video presentation, what is the differences between what if scenario and finding reasonable scenario?
The "what if" scenario is one that did not occur but could have occurred. A "non reasonable" scenario is one that could never occur in the first place.
hey Liby you might find this helpful, it is from Wharton ;) www.coursera.org/learn/wharton-introduction-spreadsheets-models/lecture/0OsMZ/4-1-monte-carlo-simulations
bacteria multiplies fastest when you're sleeping. That's why there is morning breath. You don't want to swallow that. Everyone has a different take on it though.
Hands down the BEST fast intro to Monte Carlo methods... THANK YOU!
The best introduction to MC methods I can find so far! Thank you so much!
Super, super helpful. This is a great introduction to Monte Carlo methods. Thanks for all your time and effort!
Great work, I thought. You did what you set out to do: a non-technical explanation of MC and its uses and concerns. Much appreciated (a breath of fresh air, really, considering other materials out there that attempt to do this but miss mark). Thanks for putting this together.
Intuitive,realistic and a natural touch- a great explanation of the concept!!
Fantastic presentation. Simple and clear.
thank you alon . this video get me understanding to MC simulation .. im so gratefull for you
Very clear and understandable explanation. Thank you very much.
Great explanation!
Thanks!
That's a clear explanation of the Monte Carlo simulation.
Very clear explanation, thank you!!
Very nice Video. Helped me a lot. Thx
Alon, I found this really helpful, so thank you very much. I want to use MC to explore why it is said that calibration standards should be four times "as accurate" as what they are testing. I want to test all the way from 10:1 to 1:1 and see the results. In the traditional world, there is not nearly enough data to accomplish this task. I will post on LinkedIn, so lets become colleagues!
Very good video. Thanks Alon!!!
Simple, understandable, and comprehensive for beginners ...
Thank you Alon.
Wow. You deserver 10 billion subscribers God bless you dude love
Thank you very much for this! :)
great intro
Very helpful. Thank you so much~~
great video
thank you
Thanks Alon for your video. Can you please tell me what's the drawing tool that you're using?
PowerPoint (^_^;)
Thank you very much ,
I am studying a scientist Master , Working on waves ,
it was so interesting to understand Monte Carlo throw your video , I would like to ask you if you Have any Examples that would show us How we can read the results from the simulation , aheading to make a good report , and reasonable facts from it ..
thanks again
Hey Hassan. Simulation results can be analyzed with Descriptive Statistics. The Khan Academy has a great intro to this topic: www.khanacademy.org/math/probability/descriptive-statistics
Thank you for the video. If we know the answer or we have the desired measure, then what is the point of doing Monte Carlo? Also is there any software that we can do this type of simulation without writing codes?
hey Jon, I understand that learning to code can be hard but it is the best way to run monte carlo simulations. You can try with MS Excel to sharpen your skills before using R or python.
Hello, im sorry i cant get the difference in your 22:15 video presentation, what is the differences between what if scenario and finding reasonable scenario?
The "what if" scenario is one that did not occur but could have occurred. A "non reasonable" scenario is one that could never occur in the first place.
Nice explanation. is there any example or process regarding finance matters ?
hey Liby you might find this helpful, it is from Wharton ;) www.coursera.org/learn/wharton-introduction-spreadsheets-models/lecture/0OsMZ/4-1-monte-carlo-simulations
sir i would like a clarification on the word spelt when the video reads 12:04. the pronunciation seemed little inaudible in my headset. please help
it comes after that the factor A ....
"the fact that A occurred will influence..."
sure sir thank u :)
Nice explanation. But why do you brush your teeth before breakfast?! :)
bacteria multiplies fastest when you're sleeping. That's why there is morning breath. You don't want to swallow that. Everyone has a different take on it though.
Why wouldn't I swallow bacteria, the stomach has acid to kill it off