Mathematics, 15.02.2021 21:50 tristansanders0126
Choose all the valid answers to the description about linear regression and logistic regression from the options below: A. Linear regression is an unsupervised learning problem; logistic regression is a supervised learning problem. B. Linear regression deals with the prediction of continuous values; logistic regression deals with the prediction of class labels. C. We cannot use gradient descent to solve linear regression. Instead, we can only use the closed-form solution to tackle the linear regression problem. D. Linear regression is a convex optimization problem whereas logistic regres- sion is not.
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Mathematics, 21.06.2019 18:50
Need 50 will mark brainliest answer. find the lengths of all the sides and the measures of the angles.
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Mathematics, 21.06.2019 20:30
Two angles are complementary. the larger angle is 36 more than the smaller angle. what is the measure of the larger angle?
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Mathematics, 21.06.2019 21:50
Aparticular telephone number is used to receive both voice calls and fax messages. suppose that 25% of the incoming calls involve fax messages, and consider a sample of 25 incoming calls. (a) what is the expected number of calls among the 25 that involve a fax message?
Answers: 1
Choose all the valid answers to the description about linear regression and logistic regression from...
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