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Andrej [43]
2 years ago
12

Which of the following are downlink transport channels?

Computers and Technology
1 answer:
Hunter-Best [27]2 years ago
4 0
I think it’s a or b
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When using a presentation software you can change the size of the text to...? Increase Font size, Decrease font size, increase t
ira [324]
Increase font size/ Decrease font size
7 0
2 years ago
Read 2 more answers
write a function that takes a string as parameter, return true if it’s a valid variable name, false otherwise. You can use keywo
never [62]

Answer:

The solution code is written in Python 3:

  1. import keyword  
  2. def checkValidVariable(string):
  3.    if(not keyword.iskeyword(string)):
  4.        return True  
  5.    else:
  6.        return False  
  7. print(checkValidVariable("ABC"))
  8. print(checkValidVariable("assert"))

Explanation:

Firstly, we need to import keyword module so that we can use its iskeyword method to check if a string is registered as Python keyword (Line 1).

Next, we create a function checkValidVariable that takes one input string (Line 3). Within the function body, we use iskeyword method to check if the input string is keyword. Please note the "not" operator is used here. So, if iskeyword return True, the True value will be turned to False by the "not" operator or vice versa (Line 4-5).

We test the function by passing two input string (Line 9-10) and we shall get the sample output as follows:

True

False

8 0
3 years ago
Nadia's productivity at work is being hurt due to the large quantity of unwanted e-mail she receives. What steps can she take to
anastassius [24]

Answer:

Hi,

The best option in the list is <u>stop posting her e-mail address on newsgroups.</u>

Explanation:

Unwanted e-mail is categorized as a spam email.These emails can not be entirely avoided because we use the Internet thus it is recommended that you filter them.A program called my email client can help to filter spam though in some cases, it might not be effective.

The techniques Nadia can employ in this case is to hidden her email address when visiting newsgroups.News groups are forums online where people discuss certain topic.Avoid publishing the email in these web sites can hide her tackle this problem. Additionally, Nadia could train the filter serach feature in her email box through repoting such emails using the report button present, avoid responding/openning spam  or use a third party program to track spam emails and block them.

Wish you Luck!

8 0
3 years ago
Describe how you would define the relation Brother-in-Law whose tuples have the form (x, y) with x being the brother-in-law of y
damaskus [11]

Answer:

The expression is :

π[cd) + π(g,h) ],[π(e,f)+π(a,b)])

We will use foreign key and primary key

8 0
3 years ago
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.

5 0
3 years ago
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