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.
Answers: 2
Mathematics, 21.06.2019 13:30, lizzlegnz999
12. decide whether each statement is always true, sometimes true, or never true. a. when corresponding points of an original figure and its reflection are connected, the resulting segments are all perpendicular to the line of reflection. b. when a point is reflected over a horizontal line, the y-coordinate of the point stays the same. answer both questions and explain
Answers: 2
Mathematics, 21.06.2019 16:10, cuppykittyy
The probability that a college student belongs to a health club is 0.3. the probability that a college student lives off-campus is 0.4. the probability that a college student belongs to a health club and lives off-campus is 0.12. find the probability that a college student belongs to a health club or lives off-campus. tip: p(a or b) = p(a) + p(b) - p(a and b) 0.54 0.58 0.70 0.82
Answers: 2
Mathematics, 21.06.2019 19:00, mcccreamullinsr
How can you tell when x and y are not directly proportional?
Answers: 1
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