Covariance Clearly Explained!
Covariance is closely related to Correlation. But what it really says? This video explains covariance with visualizations.
#machinelearning #datascience
Like my work? Support me -
www.buymeacoffee.com/normaliz...
For more videos please subscribe -
bit.ly/normalizedNERD
Join our discord -
/ discord
Facebook -
/ nerdywits
Instagram -
/ normalizednerd
Twitter -
/ normalized_nerd
Пікірлер: 80
The fact that I (a math teacher) learnt something new from this, means my students need to see it. Thumbs up my friend
@NormalizedNerd
3 жыл бұрын
You just made my day! ❤
Some extra things that would be worth mentioning: 1) in the absence of linearity, the correlation itself may give you very little information. In some cases, data set with Corr = 0.9 might be closer to the one with Corr = 0, than to the other with Corr = 1. In other words, very weak trends (maybe not even worth mentioning) may give you high Corr value. 2) In random generated sets, certain degree of correlation may appear randomly, without a good reason. 3) Not only does correlation not imply causation, causation doesn't imply correlation as well. Take for example y = |x| for x \in [-1, 1]. Clearly y=f(x), yet Corr = 0.
@NormalizedNerd
3 жыл бұрын
Great comment! May be I will make a dedicated video on Correlation in the future :D
This is literally the greatest explanation that I've ever heard. Beautifully animated and very straight to the point. The best video ever on this topic! You saved my life!😊
I’m a statistics student in my final year of undergrad. I just felt like checking out a video on covariationnas we begin PCA. This is by far the most clear it has ever been explained, and so succinctly! Well done, I feel I can think about it more clearly now.
@pewpewhuang4162
2 ай бұрын
Could you explain why eigenvectors corresponding to largest eigenvalues maximize projected variance intuitively? really asking
KZread can't be serious that this video doesn't top their search result! Kudos to the channel. This video seriously deserves every compliment this world can offer. Keep up the great work thanks!
Instantly subscribed. Please keep up the work! Amazing visualization.
The video looks more like an animation exercise rather than an educational video. The formulas are explained but the intuition behind them is as opaque as before. A few videos from 3Blue1Brown could be a good reference for this channel.
The animations helped me get an idea of what I was calculating for this long :) Maths is beautiful✨
I agree; this video was amazing! And you are so right- the video, in the end, was so good to see what the values look like at different plot points.
Excellent video. Very intuitive and well explained! As someone who's both a student and a teacher of maths, I'm impressed from both angles!
great video ! i really appreciate the effort you put into this
Great video. You really did explain the concept in a very elegant way.
Fantastic explanation, but one of the things that really sets this apart from some of the others I have seen is that you take time at the end to show the different values for different points. Really a great way to both help people visualize and check if they understood correctly.
Incredible explanation and visualization! Thank you!
This is so well explained. Thank you so much
this is the kind of explanation we need . 🙂
what a beautiful animation, amazing video friend!
Thanks for this video, you really helped me understand covariance visually.
6:34 6:34 For example, let's say we observe a correlation between the number of ice cream cones sold at a beach and the number of drownings. There might indeed be a correlation, as both tend to increase during hot summer days. However, it would be incorrect to conclude that eating ice cream causes drownings or vice versa. Instead, there could be a third variable, such as temperature, that influences both variables independently.
First time I comment a video of a math explanation in years, wow very good!
great video! you really helped me to understand in 7 minutes what my proffesor could not in 1 hour! thanks!
Very intuitive, thanks!
amazing video, so happy I came across it
thank you sir, great teaching and visualizations. 👍😊
Good animation, well explained, thanks for sharing 👍
Can't wait for your channel to get discovered
Great video, thank you! I finally understand covariance. Very helpful and beautiful visualizations as I study for my statistics final :)
the visual is sick!! amazing
Excellent explanations!
Very helpful thank you!
thank you clearly explained.
Well explained.
Amazing intuition and excellent animation! Interestingly, the sign of correlation follows the monotony of sine function in each of the 4 quarters of the unit circle. In the top right quarter [0, 90deg] the sine function is monotonically increasing and correlation is positive, in the top left quarter [90, 180deg] the sine function is monotonically decreasing and correlation is negative and so on.
@NormalizedNerd
3 жыл бұрын
Thanks mate! Is this observation true for bottom two quadrants?
@christosm.2407
3 жыл бұрын
@@NormalizedNerd Ah! Actually not. In the bottom two the behavior is reversed! The sign of tangent in each quadrant would have been a better example. :)
Wow this is fantastic
that is exactly what i've been looking for for along time ,,, very clear and a big thumb for everything but espessially for the last visualization .....
thank you it is clear!
great video!
very good video!
thanku so much man
Brilliant animations, thanks
@NormalizedNerd
Жыл бұрын
Thanks mate!!
Thank you
Thsnk you much. Please more statistics.
well explained
eloquently explained
amazing and satisfying
amazing video
tyvm
Perfect!
thanks!!!
Can you tell me why we perform eigen decomposition to the covariance matrix in PCA ?
Please do degrees of freedom
super good animaitions and music
This is art
super video
Damm next level teaching
That is beautiful 😢
Thank you..
1:37 Hello sir can I know how you drew that type of Graph with Manim? I just want the name or line of the code about how you drew that kind of grid please sir!
@NormalizedNerd
3 жыл бұрын
For creating the grid you need to use NumberPlane object.
@PritishMishra
3 жыл бұрын
@@NormalizedNerd Thanks man
Best explanation..👍..sir, please make videos on regression line.....🙏
@NormalizedNerd
3 жыл бұрын
Thanks!!
Nice animation
It’s truly intuitive … is there a way I can connect with you?
this is the best thin ever!
This video is well explained than my teacher
I recognise a lot of 3Blue1Brown's animation and audio style here ^^ nevertheless, thanks for the helpful video
@NormalizedNerd
Жыл бұрын
Yeah, I'm using his python library!
Limpid. Great job.
@NormalizedNerd
3 жыл бұрын
Thanks a lot :D
Lovely animations, 3B1B style c:
@NormalizedNerd
Жыл бұрын
Thanks a lot! Yup using his library.
wow