Why is theta(nod) the first term called the bias term?
The first term in the hypothesis function of linear regression
Hey @nikhil_sarda, actually y = w1x1 + w2x2 + w3x3 + b, now we can write like this,
y = theta0*x0 + theta1 *x1 + theta2 * x2 + theta3 * x3. Here we keep x0=1 for all datapoints. On comparing both equations you can say that theta0 or theta not is called as bias term.
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I still didn’t get…why the word bias is used?
Hey @S18CRX0120, as in the equation, y = w1x1 + w2x2 + w3x3 + b we call w as weights and b as bias term. This term basically signifies the intercept value, so if you compare it with, y = theta0*x0 + theta1 *x1 + theta2 * x2 + theta3 * x3. (Here we keep x0=1 for all datapoints.) you will see that Theta0 = b = bias term, and hence it is called so.
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