I am trying to understand this concept of Learning With Errors. There does not seem to be a layman explanation of it anywhere. Here I describe layman as someone who understands ML concepts a bit (non expert).

Can someone explain that a bit please? The wiki page refers to Parity Learning which also is not explained anywhere.

I am trying to read up on homomorphic encryption and I am stuck here.