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Savatey [412]
1 year ago
5

Which scenario is most likely due to an everyday problem rather than a

Computers and Technology
1 answer:
tester [92]1 year ago
6 0

The scenario is most likely due to an everyday problem rather than cultural difference among people collaborating online is option D. A team member's bandwidth is limited, and the video feed keeps freezing.

<h3>What is collaborating online?</h3>

Online collaboration is known to be a term that connote the use the internet as well as other forms of online tools to be able to work together on some work or project.

Note that it is one that is done Instead of a person sitting in a physical office space, the online collaboration gives room for employees to be able to work together from different locations and tech by accessing the virtual work environments as well as other shared online workspaces.

Therefore, The scenario is most likely due to an everyday problem rather than cultural difference among people collaborating online is option D. A team member's bandwidth is limited, and the video feed keeps freezing.

Learn more about collaborating online from

brainly.com/question/514815

#SPJ1

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To store a variety of drugs electronically, along with displaying their purchase dates and prices, the kind of software that would be used is database.

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Answer:

Check the explanation

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Lasso: R example

To run Lasso Regression you can re-use the glmnet() function, but with the alpha parameter set to 1.

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Best cross-validated lambda lambda_cv <- lasso_cv$lambda.min # Fit final model, get its sum of squared residuals and multiple R-squared model_cv <- glmnet(X, y, alpha = 1, lambda = lambda_cv, standardize = TRUE) y_hat_cv <- predict(model_cv, X) ssr_cv <- t(y - y_hat_cv) %*% (y - y_hat_cv) rsq_lasso_cv <- cor(y, y_hat_cv)^2 # See how increasing lambda shrinks the coefficients -------------------------- # Each line shows coefficients for one variables, for different lambdas. # The higher the lambda, the more the coefficients are shrinked towards zero. res <- glmnet(X, y, alpha = 1, lambda = lambdas_to_try, standardize = FALSE) plot(res, xvar = "lambda") legend("bottomright", lwd = 1, col = 1:6, legend = colnames(X), cex = .7)

Kindly check the Image below.

5 0
3 years ago
How are the functions different and how do i determine the answer
worty [1.4K]

Answer:

this isn't a fair question...

you'll either get 2,3 or 4

not a nice question

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Is it asking for a web site like .edu? or something like that?
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