This is literally the best video I've came across that let me intuitively understand not only Normal Distributions, but especially PDFs and CDFs, along with PPFs that I didn't know about.
Man this is real gold. I already know what normal distribution and all are, I just casually clicked your video and was engaged till the end. This is some serious editing and animation of those graphs right there. Subscribed.
Your animations are incredibly intuitive and seamlessly break down the mathematical concepts into comprehensible chunks! I'm lucky to have you on TH-cam.
This is beautifully done! I can imagine a time (not long from now) when these presentations can be made interactive with an AI that can alter these graphics and explanations to respond to student questions. That will be quite an exciting time for education.
To support more videos like this, please check out my O'Reilly books. Essential Math for Data Science amzn.to/3Vihfhw Getting Started with SQL amzn.to/3KBudSY Access all my books, online trainings, and video courses on O'Reilly with a 10-day free trial! oreillymedia.pxf.io/1rJ1P6
Hello and thank you for the content. I bought your book (essential math for data science)from AMZ on kindle but it has trouble displaying the formulas, any idea to fixe that?
@@02chlef Try rendering it on a different device? Definitely file an issue with Amazon support but I'll look into it on my end as well. Usually that's a bug on Amazon's end.
Amazing! Just to clarify - between two points on the pdf - going to pdf to cdf needs integration and cdf to pdf (the inverse thing that you’re discussing??) need derivatives correct?
I will make a video about this later, but the probability of getting EXACTLY 61.53 pounds... is 0%. In continuous variables, decimals can have an infinite number of decimal places, driving any specific value to have a probability of 0. You have to look up ranges of areas to get probabilities instead.
The Z-scores are the x-axis but only after the standard deviation has been scaled to 1, and the mean has been scaled to 0. If I have time I'll make a video about this.
I know that you write books about statistics, but you made a mistake in the formula of the normal distribution. In the first term the sigma must be as sigma squared within the square root. This is is important, because if you put sigma infront of the root and sigma is negative, then also the likelihood in of your PDF will become negative which makes no sense. I made this mistake myself once and it caused my some trouble in my calculations, hence I know this pain very well...
Yes. It looks like I removed the errata (this was a typo in the math latex) in the description when I updated it, I’ll put it back later today. Thanks for reminding me.
Get a free 3 month license for all JetBrains developer tools (including PyCharm Professional) using code 3min_datascience:
www.jetbrains.com/all/
This is literally the best video I've came across that let me intuitively understand not only Normal Distributions, but especially PDFs and CDFs, along with PPFs that I didn't know about.
Man this is real gold. I already know what normal distribution and all are, I just casually clicked your video and was engaged till the end. This is some serious editing and animation of those graphs right there. Subscribed.
I moved from crying to "I got this!" in 5 minutes! thank you!!
Your animations are incredibly intuitive and seamlessly break down the mathematical concepts into comprehensible chunks! I'm lucky to have you on TH-cam.
Intuitive explanation of pdf cdf and ppf, very helpful ❤.
This is beautifully done! I can imagine a time (not long from now) when these presentations can be made interactive with an AI that can alter these graphics and explanations to respond to student questions. That will be quite an exciting time for education.
Now this is called crystal clear explanation. Thanks for all the efforts you put in to create this wondeful video. Very Informative !
omg... I have taken stats in high school, undergrad, and grad school and they never made it make sense like this.... THANK YOU!
The pdf formula given in 1:06 is not right. There should be a minus sign in the exponent, ie. $- (\frac{x-\mu}{\sigma})^2$.
Really simple but exactly what I needed. Excellent video! Please, PLEASE, make more videos! I saw you only have 18 since 2022.
Thank you 🙏 Really glad it helped you! Doing my best to get videos out at a steady rate even if it’s not frequent.
Holy crap this was good. So intuitive.
To support more videos like this, please check out my O'Reilly books.
Essential Math for Data Science
amzn.to/3Vihfhw
Getting Started with SQL
amzn.to/3KBudSY
Access all my books, online trainings, and video courses on O'Reilly with a 10-day free trial!
oreillymedia.pxf.io/1rJ1P6
Hello and thank you for the content.
I bought your book (essential math for data science)from AMZ on kindle but it has trouble displaying the formulas, any idea to fixe that?
@@02chlef Try rendering it on a different device? Definitely file an issue with Amazon support but I'll look into it on my end as well. Usually that's a bug on Amazon's end.
the way i knew this topic was easy but couldn't understand it till this video. Thank you!!
i have adhd and it was actually quite helpful. the music is great 🎶
You deserve more subscribers! Really nice video! The best one on this topic!!!
I like it, thanks.
I'm not a mathematician but I have had to pick up a lot of this skill - probability is beginning to make sense.
You forgot a negative in the exponent component of the PDF for a normla dist
Noted, thank you! I'll put an errata up later.
Thank you so much
I wish professors explain it the way you do!
Amazing! Just bought the two books! Thank you!
Love it. You inspired me to do similar content and it’s been an amazing journey
Amazing explanation 🙌
I just found your channel, super happy, thanks.
Today, I saw light.
PPF was new for me. Thanks!
Amazing! Just to clarify - between two points on the pdf - going to pdf to cdf needs integration and cdf to pdf (the inverse thing that you’re discussing??) need derivatives correct?
Yo bro man. That is a great explanation. Keep up the great work!!!! Support from INDIA-IIT KGP
Great video, I've subscribed and I hope to see more from this channel soon
Finally Got the concept after months(years even maybe...) Thank You So Much
I got a followup video coming this week that uses these concepts for hypothesis testing. Stay tuned : )
you are great bro!!!!!!!!!!!!!
Why does most data gives a bell curve?....is it due to the sample size?
I thought it's another grant Sanderson video or 1blue one three brown What thanks for this very helpful
crystal clear!!! Thanks
Thank you
THIS IS FUCKING BRILLIANT
Amazing video
Best! I liked and subscribed to your channel.
Good stuff. Reviewing and this was a solid visual aid. On crip
just a correction e ^ -k not e ^ k where k = (0.5)((x - mew)/sigma)^2
Perfect
this is incredible!
Thanks a lot!
Shouldn't the formula contains a negative(-) sign before the power of e? I mean e^ - (1/2)
Yes, I need to put the errata back in the description : )
Amazing animation! What software did you use to create it?
I used Manim. I shared a tutorial here. th-cam.com/video/qcL-rT3jZfk/w-d-xo.htmlsi=EnG8ThB-mcjOsakw
@@3-minutedatascience Thank you!
If you increase sigma you show a platykurtic kurtosis, shouldn't a platykuirtic have a lower sigma?
at 2:30....why is looking at likelihood NOT meaningful in itself ?
I will make a video about this later, but the probability of getting EXACTLY 61.53 pounds... is 0%. In continuous variables, decimals can have an infinite number of decimal places, driving any specific value to have a probability of 0. You have to look up ranges of areas to get probabilities instead.
Great summary! But does this apply to collies??
😂 Hi Steve!
sir, can you please share which software do you use for editing ?
I use Manim to do the animation renders, and formerly used iMovie for editing but have moved to KDenLive these days.
@@3-minutedatascience thank you so much for sharing !
Margarita Knolls
Jackson Field
McLaughlin Village
Grady Locks
is the x axis z score for normal distribution?
The Z-scores are the x-axis but only after the standard deviation has been scaled to 1, and the mean has been scaled to 0. If I have time I'll make a video about this.
lovely
sir you dont use subtraction in normal dist formula
Yes! I seem to have removed the errata in the description, I'll put it back up.
👍👍👍
The music in this video is distracting. I'd say get a better microphone and turn the music down.
Noted, thanks! I'm getting better at editing.
Nah I like the music, its vibey 😂
Fix your earphone
Your opinion is both wrong and cringe, Alyssa Schroeder
You are the goat.
🐐
Batz Crescent
Winfield Island
Your formula for the normal distribution is wrong. It should be e^-1/2... not e^1/2...
I know that you write books about statistics, but you made a mistake in the formula of the normal distribution. In the first term the sigma must be as sigma squared within the square root. This is is important, because if you put sigma infront of the root and sigma is negative, then also the likelihood in of your PDF will become negative which makes no sense. I made this mistake myself once and it caused my some trouble in my calculations, hence I know this pain very well...
Yes. It looks like I removed the errata (this was a typo in the math latex) in the description when I updated it, I’ll put it back later today. Thanks for reminding me.
Bradly Cliff
☯️🙏
Your video length is more than 5 min😂😂😂
exclude the intro. haha
Gaylord Pine
A brilliant explanation