A model declaratively establishes a relationship between variables without offering a way to find the value (or distribution) of variables. A solver takes a model (and possibly some data) and does that. For example, a quadratic equation x^2 + x + 1 = 0 is a model, while the Bhaskara method is a solver for that kind of model that determines the value of x.
This lecture is gold and very unique. Deserves way more view
agree
"Statistics is mathematics of data." -- Zoubin Ghahramani
Can anyone share an explanation about 'solver' referred in the video? What is the distinction between a model and a solver they were talking about?
A model declaratively establishes a relationship between variables without offering a way to find the value (or distribution) of variables. A solver takes a model (and possibly some data) and does that. For example, a quadratic equation x^2 + x + 1 = 0 is a model, while the Bhaskara method is a solver for that kind of model that determines the value of x.
@@rodrigobraz2 Thanks! Although it is quite intuitive, I could not be sure.
Thanks