Submitted by AutoModerator t3_xznpoh in MachineLearning
Select-Shopping4606 t1_isr2ijn wrote
hi everyone.
Considering a multivariate problem such as weather prediction using linear models.
with x1,x2,x3,x4,x5 to predict weather y. how do we find how much we need to increase or decrease x2 to get our desired treshhold y ????
is it only way to change manually y=wx+b ????
Thanks for kind suggestions and directions.
seiqooq t1_it3y6j9 wrote
This sounds like a multi variate linear regression problem. There are common ways of solving these problems, with gradient descent being the classic method.
Select-Shopping4606 t1_itouzal wrote
hi. how do we do it if we use simply linear model not optimizer like gradient descent.
Is there any link to how it is done with gradient descent? thanks
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