Suppose we are using gradient descent to learn linear regression. The hypothesis is ho(x) = 00 + 01x. The initial values are 0g = 1.0, = 2. and the learning rate is 0.5. Suppose we have one data exmaple (10, 5) and use only this data example to update the mo a) After the first step update, what is 0o and 01, respectively? b) After the second step update. what is 0o and 01. respectively?

Database System Concepts
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Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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2.3 Gradient descent
Suppose we are using gradient descent to learn linear regression. The hypothesis is hø(x) = 00 + 01x. The initial values are 0o = 1,0| = 2, and the learning rate is 0.5. Suppose we have one data exmaple (10, 5) and use only this data example to update the model:
a) After the first step update, what is 0o and 01, respectively?
b) After the second step update, what is 0g and 0, respectively?
Transcribed Image Text:2.3 Gradient descent Suppose we are using gradient descent to learn linear regression. The hypothesis is hø(x) = 00 + 01x. The initial values are 0o = 1,0| = 2, and the learning rate is 0.5. Suppose we have one data exmaple (10, 5) and use only this data example to update the model: a) After the first step update, what is 0o and 01, respectively? b) After the second step update, what is 0g and 0, respectively?
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