X 5 3 y 4 4 4 0 1 3 a) Assume that we are using the training set above. What is J(0o,01)? Given that 0o = 0 and 8₁ =1.

Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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7.
..s] Consider the problem of predicting how well a student does in her second
year of college/university, given how well she did in her first year.
Specifically, let x be equal to the number of "A" grades (including A-. A and A+ grades) that a
student receives in their first year of college (freshmen year). We would like to predict the
value of y, which we define as the number of "A" grades they get in their second year
(sophomore year).
Here each row is one training example. Recall that in linear regression, our hypothesis is
he(x)=00+0₂X, and we use m to denote the number of training examples
Transcribed Image Text:7. ..s] Consider the problem of predicting how well a student does in her second year of college/university, given how well she did in her first year. Specifically, let x be equal to the number of "A" grades (including A-. A and A+ grades) that a student receives in their first year of college (freshmen year). We would like to predict the value of y, which we define as the number of "A" grades they get in their second year (sophomore year). Here each row is one training example. Recall that in linear regression, our hypothesis is he(x)=00+0₂X, and we use m to denote the number of training examples
X y
5
4
3 4
0
1
4 3
a) Assume that we are using the training set above. What is J(0o,01)? Given that 0o = 0 and
0₁ =1.
Transcribed Image Text:X y 5 4 3 4 0 1 4 3 a) Assume that we are using the training set above. What is J(0o,01)? Given that 0o = 0 and 0₁ =1.
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