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in gradient descent technique, we chose an alpha value (learning rate) in computation of parameters (theta zero and theta 1). what will happen if we assign a very small value to alpha? 1) the model computations may take a long time to converge 2) the model may never converge 3) there will be no need to iterate 4) the speed of the computations will be very high
Sagot :
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