Normal Vectors : Data Science Basics

You've probably learned about normal vectors ... but why are they important in data science?
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[@EW-mb1ih]

Finally I have the explanation about why the normal vector has the same coordinates as the hyperplan! Thank you sir!

[@synchronizx5459]

Thanks for your excellent introduction. Even though I'm good at English listening so well, still I can understand all you speak. Really appreciate it.

[@akshaygulabrao372]

Where is the marker toss?

[@ingoverhulst]

Good question! That toss is as iconic as the high quality education we've come to expect.

[@ritvikmath]

hahaha, the toss was there if you look carefully but obscured by the "ritvikmath" logo

[@nk2904]

Love your stuff so much

[@edwardgongsky8540]

but why is the line defined like that though and not mx + b?

[@junderfitting8717]

Extortionary tutorial. My notes: vector a ends at line L: vector a = end point A(a_x1, a_x2) - start point (0,0) ; vector b ends at line L: vector b = end point B(b_x1, b_x2) - start point (0,0) ; i.e. point A and B are ON the line L , so, A and B satisfy the equation of L ; subtraction of vector a and vector b is vector AB or vector BA ;

[@muhammadal-qurishi7110]

Can you please explain CRF

[@canozgeldi1450]

damn this is a good explain. thumbs up for you.

[@anshitasheoran2699]

please make vedio on generalized method of moments

[@s.a.Tawhid]

Subscribed. This video was sooo coooooooooooooool. Totally liked it.