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Stolb23 [73]
3 years ago
14

Whoever answers first gets lots of points

Computers and Technology
2 answers:
zimovet [89]3 years ago
8 0
Firssstttttt ayyyyyyeeeeeeeeeeeee
madreJ [45]3 years ago
5 0
I'm not first but hahaha
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Artificial intelligence (AI) and machine learning are especially important during which security information and event managemen
Juli2301 [7.4K]

Answer:

hueiweke

Explanation:

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2 years ago
What is performance? Multiple Choice measures how quickly a system performs a process or transaction a system that is not operat
Lilit [14]

Answer: measures how quickly a system performs a process or transaction

Explanation:

Computer performance refers to how well a given computer system performs, which is estimated by its accuracy, efficiency and speed when completing a process or transaction.

A computer performance evaluation will assess a system's resources and outputs to make sure that it´s performing in the best possible way.

Some parameters of performance are latency, speed, throughput, and bandwidth.

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3 years ago
Read 2 more answers
This is your chance to become the instructor. After learning the looping and input validation concepts, create a problem to give
enot [183]

Answer:

See Explaination

Explanation:

The Problem information is as follows:

The input: A data file containing the bank account information.Accounts are of different

types (like Savings Account, Checking Accounts).

The Output: Report on Number of Savings Account, Number of Checking accounts and their

total balances, avregae balance, maximum and minimum balance etc

Processing:

Read the file data

Consider valid account data

Separate different accounts

Calculate the sum of their balances

Calculate the average balnace for each type of account

Display the information

Solution:

1.The application should be able to read the csv file.

2.All the error checking should be done as per defined rules

3.The report should be generated in the defined format

4.Data display precisions need to be followed.

5.Interactive errors should be reported with proper messages

6.Integrity of the data should be maintaied while saving the data.

7. Calculation of the averageAccountBalance = (Sum of all the balances of a particular type of account)/(number of that type of account)

8. TotalAccountBalance = Sum of all the balances of each type of account.

9. To find maximum start with a default value and then traverse all the accounts and update the maximum value as per the comparison results

and same for minimum.

Input Validation:

1.Check for the filename (maximum length is 10 chars besides the csv extension)

2.account number (12 digits, first three entries are alphabets)

3.Name (Only alphabets are allowed)

4.Phone Number (7 digits must follow the format xxx-xxx-x)

pesudoCode:

Input filename

open the file

declare accounts[] array

Read the data in accounts and update numOfAccounts

declare numOfAccounts, numOfSavingActs, numOfCheckingActs, totalBalanceSavings, totalBalanceChecking, averageBalanceChecking

averageBalanceSavings, maximumSaavings, minimumSavings, maximumChecking, minimumChecking

for i = 1 to n:

if (Validate(account[i])):

if account[i].type == "Savings":

numOfSavingActs++

totalBalanceSavings = totalBalanceSavings + account[i].balance

if account[i].balance > maximumSavings:

maximumSavings = account[i].balance

if account[i].balance < minimumSavings:

minimumSavings = account[i].balance

if account[i].type == "Checkings":

numOfSavingActs++

totalBalanceSavings = totalBalanceSavings + account[i].balance

if account[i].balance > maximumSavings:

maximumSavings = account[i].balance

if account[i].balance < minimumSavings:

minimumSavings = account[i].balance

Display(Data)

4 0
3 years ago
What are the steps to open the Custom AutoFilter dialog box?
uranmaximum [27]

Answer:

data, sort and filter, text filters

Explanation:

ed 2020

7 0
3 years ago
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From a neural network with 11 input variables, one hidden layer with three hidden units, and one output variable, how many param
e-lub [12.9K]

Answer:

40

Explanation:

Given that:

A neural network with 11 input variables possess;

one hidden layer with three hidden units; &

one output variable

For every input, a variable must go to every node.

Thus, we can calculate the weights of weight with respect to connections to input and hidden layer by using the formula:

= ( inputs + bias) × numbers of nodes

= (11 + 1 ) × 3

= 12 × 3

= 36 weights

Also, For one hidden layer (with 3 nodes) and one output

The entry result for every hidden node will go directly to the output

These results will have weights associated with them before computed in the output node.

Thus; using the formula

= (numbers of nodes + bais) output, we get;

= ( 3+ 1 ) × 1

= 4 weights

weights with respect to input and hidden layer total = 36

weights with respect to hidden and output layer total = 4

Finally, the sum of both weights is = 36 + 4

= 40

6 0
3 years ago
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