Yₑ = α + β₁X₁ + β₂X₂ + … + βₚXₚ, where p is the number of predictors.
When you provided this formula/definition I would have liked to read something like this:
"It is called linear regression because it is linear in its parameters β"
or so. My ML/DL professor mentioned it on every of his slides about linear regression. Therefore an equation like
f(x) = ∑ βi x2
would be linear too, because it is linear in its parameters (β)
Beside that I really like your explanations! Definitely would like to read more about advanced topics :)
There is one thing I would have liked to see:
When you provided this formula/definition I would have liked to read something like this:
"It is called linear regression because it is linear in its parameters β"
or so. My ML/DL professor mentioned it on every of his slides about linear regression. Therefore an equation like
f(x) = ∑ βi x2
would be linear too, because it is linear in its parameters (β)
Beside that I really like your explanations! Definitely would like to read more about advanced topics :)
That's a great point. Thank you :) more coming soon!