The Covariance Matrix : Data Science Basics

What is the covariance matrix and how is it computed?

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[ebenvia]

This is one of the most clear, straightforward stats video I've seen in awhile! 👍

[andreyb]

You describe things in absolutely clear and simple way, thx for doing this!!!

[exxodas]

I like how you give us little refreshers about concepts we may have forgot.

[stefanklisarov]

You're an amazing instructor and I really enjoy your videos. Great content.
Can I make a small suggestion regarding a technicality - the camera seems to be fishing for focus every time you move in closer to it. If you manually focus and fix the focal distance so that the board is in focus, whenever you move closer only you will go out of focus for a brief moment ( not necessarily, if there is sufficient light you can use a small aperture that will allow for a greater focal distance ) and avoid the pitfalls of the slow autofocus.

[ahmedalaaeldinmohamed]

I can't believe how you make things that easy. Thx for this awesome content.

[joel]

Thanks for making an effort to explain things at a slow pace. I love the way you don't use technical terms to explain things immediately, but then you do give us the technical term once it's explained. Much appreciated and subscribed.

[NugrohoBudianggoro]

huge thanks for the explanation. i was reading a book about this but i couldn't get my head around it. your explanation clear things up. best of success to you, bro..

[laureanodiaz]

To the point, exemplified, condensed and so useful. Thanks for this video!

[hossanatwino]

Really simple and great explanation of the covariance matrix. It would be great if at the end you tell us what the covariance matrix means in terms of whether there was a relationship between eating a banana and apple - in this case, that yes, there is a positive relationship.

[SarikaKamble-pmhq]

I was struggling with this concept. You made it very simple and easy to understand. Thank you for this amazing content.

[djd]

After giving Khan Academy a shot at explaining this poorly I came across this. Perfect. Thank you!

[Captain_Rhodes]

thanks. make more videos. you have a talent for keeping thinks understandable

[johningham]

I was following while it was all about apples and bananas, but got lost when you started performing pear-wise operations

[lcaslokonon]

Great real life explanation - extremely helpful. Thank you so much!!

[methorogood]

This is one best explanations of the concept I have come across. You truly have a gift! Thank you.

[alimuqaibel]

Excellent presentation but at 2:21 .... confused correlation with covariance with correlation coefficient. Correlation is not bounded between -1 and +1 that is rather the correlation coefficient Correlation coefficient is the one that is bounded. Also the explanation given ... when one is positive and the other is negative ... (that is the definition of correlation) Covariance has to be defined relative to the mean. Please double check in any Standard Statistics Book including Peebles or Papoulis... The presentation style and clarity is excellent. Keep up the good work.

[DariaEmacs]

Thank you! This is the best explanation in the world! It really helps me! 👍

[rainerwang]

Best explain on this topic! Concise and human friendly

[Milad_showcase]

Thank you. Very helpful video. Good luck

[liamhan]

So simple yet so clear. Thank you so much! Subscribed and can't wait to watch your other videos!