Contrastive Loss : Data Science Basics

[@Whatever20237]

amazing. perfect. THANK YOU!

[@ritvikmath]

Glad you like it!

[@cobaltspeaker340]

Don't think we forgot about your election prediction...😅

[@ritvikmath]

😅

[@craighalpin896]

What books or other resources do you recommend.

[@kanagalkumar]

Very Nice!

[@ritvikmath]

Thank you! Cheers!

[@EmileAI]

Thanks for the video! Amazing
One question though: is it really the "basics of data science"?

[@ritvikmath]

Thanks! Hmm I’ll have to think on if it belongs in the Basics or Concepts playlist.

[@srihariNakerakanti]

I dont think it's basics of data science because I never heard about this concept and thanks for explaining well

[@anastephania]

Could you please explain a little more what the embedding you keep referring to is? Thank you!!

[@ritvikmath]

The embedding is an N-dimensional vector (a list of N numbers) which "represents" the photo of each person.

[@anastephania]

@ how does it go from photo to vector? Wouldn’t it be a matrix instead? Does each pixel get assigned a value, is it binary? Sorry so many questions! 😄