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dusya [7]
3 years ago
14

What structures in which lighting heating and other systems are controlled by computers

Computers and Technology
1 answer:
Ilia_Sergeevich [38]3 years ago
8 0

Museum !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

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PLEASE HURRY! Match terms in the first column with the order descriptions in column two.
zavuch27 [327]

Megabytes gigabytes terabytes - from smallest to largest

Petabytes terabytes kilobytes - largest to smallest

Exabytes zettabytes megabytes - in no apparent order

Explanation:

5 0
3 years ago
3. What do you need to do before you can sort and filter data in a database?
Digiron [165]

3. format the table

4. idk

5 0
3 years ago
In popular usage and in the media, the term ________ often describes someone who breaks into a computer system without authoriza
ch4aika [34]
The answer here is hacker
6 0
3 years ago
Your first job is to create a Java program that repeatedly asks the user whether they wish to calculate another square root. If
Zinaida [17]

Your first job is to create a Java program that repeatedly asks the user whether they wish to calculate another square root. If the response is "y", then the program should proceed; if it is anything else, then the program should quit. Whenever it proceeds, the program should prompt the user for a number (a positive double, and your program may simply assume the input is consistent with this requirement) and then report the square root of that number to within a relative error of no more than 0.01%. The computation must be done using Newton iteration.

The intuitive idea of Newton iteration for computing square roots is fairly straightforward. Suppose you have a guess r for x1/2 that is too large; the argument is similar if it is too small. If r is too large to be the square root of x, then x/r must be too small, so the average of r and x/r should be a better guess than either r or x/r. This suggests that if you repeatedly replace your current guess r by (r + x/r)/2, then your sequence of guesses should converge to x1/2. And indeed it can be proved that it does. A good initial guess for x1/2 is simply r = x. If you continue updatingr until |r2 – x |/x < ε2, then the relative error of the guess r will be less than ε.

After your initial program works, there are a number of other requirements to change it slightly, one step at a time, as explained below.

Open the src folder of this project and then open (default package). As a starting point you should useProgramWithIOAndStaticMethod.java. Rename it Newton1 and delete the other files from the project (if needed, see Creating a Program from a Skeleton (also Renaming a Java Program) for details).

Edit Newton1.java to satisfy the problem requirements stated above, including updating comments appropriately. Estimating the square root should be done in a static method declared as follows:

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/**

* Computes estimate of square root of x to within relative error 0.01%.

*

* @param x

*            positive number to compute square root of

* @return estimate of square root

*/

private static double sqrt(double x) {

   ...

}

Copy Newton1.java to create Newton2.java. Change sqrt (including its Javadoc comments) so it also works when x = 0.

Copy Newton2.java to create Newton3.java. Change it so the main program prompts the user to input the value of ε (rather than assuming it is 0.0001), just once as the program begins, and so this value is also passed to sqrt.

Copy Newton3.java to create Newton4.java. Change it so the main program does not ask the user whether they wish to calculate another square root, but instead simply asks for a new value of x and interprets a negative value as an indication that it's time to quit.

Select your Eclipse project Newton (not just some of the files, but the whole project), create a zip archive of it, and submit the zip archive to the Carmen dropbox for this project, as described in Submitting a Project.

7 0
3 years ago
You trained a binary classifier model which gives very high accuracy on thetraining data, but much lower accuracy on validation
kompoz [17]

Answer:

a. This is an instance of overfitting.

Explanation:

In data modeling and machine learning practice, data modeling begins with model training whereby the training data is used to train and fit a prediction model. When a trained model performs well on training data and has low accuracy on the test data, then we say say the model is overfitting. This means that the model is memorizing rather Than learning and hence, model fits the data too well, hence, making the model unable to perform well on the test or validation set. A model which underfits will fail to perform well on both the training and validation set.

4 0
3 years ago
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