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zmey [24]
3 years ago
13

A network administrator for a small company is contemplating how to scale the network over the next three years to accommodate p

rojected growth. Which three types of information should be used to plan for network growth? (Choose three.)A. human resource policies and procedures for all employees in the companyB. documentation of the current physical and logical topologies *C. analysis of the network traffic based on protocols, applications, and services used on the network*D. history and mission statement of the companyE. inventory of the devices that are currently used on the network*F. listing of the current employees and their role in the company
Computers and Technology
1 answer:
choli [55]3 years ago
4 0

Answer:

Option B,C,E

Explanation:

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Answer:

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Explanation:

if it got water in it that should help it.

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In order to consolidate your theoretical knowledge into technique and skills with practical and applicational value, you will us
Arisa [49]

Answer:

Check the explanation

Explanation:

Lasso: R example

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

# Perform 10-fold cross-validation to select lambda --------------------------- lambdas_to_try <- 10^seq(-3, 5, length.out = 100) # Setting alpha = 1 implements lasso regression lasso_cv <- cv.glmnet(X, y, alpha = 1, lambda = lambdas_to_try, standardize = TRUE, nfolds = 10) # Plot cross-validation results plot(lasso_cv)

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.

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3 years ago
Use the STL class vector to write a C function that returns true if there are two elements of the vector for which their product
Tema [17]

Answer:

Code is provided in the attachment form

Explanation:

Vector Multiplication code:

Vector_multiplication.c file contains C code.

See attachment no 1 attached below

Classification of Algorithm: For creating elements in vector c of size n, number of scalar  multiplications is equal to n. The size of original two vectors scales directly with the number of  operations. Hence, it is classified as O(n).

7 0
3 years ago
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Alina [70]

Answer:

GHRUDIFDSFHEOUSDHFHESDHFHEFE

Explanation:

SORRY I DONT KNOW

5 0
3 years ago
The Boffo Balloon Company makes helium balloons. Large balloons cost $13.00 a dozen, medium-sized balloons cost $11.00 a dozen,
IceJOKER [234]

Answer:

name = input("Enter customer name: ")

quantity = int(input("Enter quantity: "))

size = input("Enter size [large-medium-small]: ")

if size == "large":

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Explanation:

*The code is in Python.

Ask the user to enter name, quantity, and size

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Print the order information and total sales

4 0
3 years ago
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