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JulsSmile [24]
3 years ago
9

I will give brainliest!!!!! I NEED HELP ASAP!!!!!!!

Computers and Technology
1 answer:
klemol [59]3 years ago
4 0

Answer:

I'm pretty sure it's the first answer.

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Shtirlitz [24]

Answer:A

Explanation: Its cheap and easy to install

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Read 2 more answers
Which of the actions below will not create more room on your hard drive?
slavikrds [6]
A. defragging your hard drive
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A teacher wants a program to give extra points to students who fail a test. Write a Python program to do the following: (a) Ask
Lorico [155]

Answer:

Hi there! Please find the answer below.

Explanation:

The program below demonstrates how each of the requirements can be coded in a simple Python script. To copy the array, we can use the copy() method of the array. To calculate the diff, we can use a few different techniques, so I have implemented it using a loop over the arrays and just storing and displaying the difference in the 2 arrays.

new_string.py

def add_test_score(score):

 test_score.append(score);

contact_hash = {}

test_score = []

print("Enter 5 test scores: ");

for x in range(0, 5):

   input_string = input("Enter test score " + str(x + 1) + ": ")

   add_test_score(int(input_string));

print(test_score);

test_score_copy = test_score.copy();

for e in test_score_copy:

   if e < 60:

       test_score_copy[test_score_copy.index(e)] += 10;

diff = [];

for e in test_score:

   print(test_score[test_score.index(e)]);

   print(test_score_copy[test_score.index(e)]);

   if not test_score[test_score.index(e)] == test_score_copy[test_score.index(e)]:

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print(diff);

8 0
3 years ago
Which of the following mountain ranges stretches from Alabama to Canada?
Vikki [24]
The Appalachian Mountains
4 0
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Suppose you use Batch Gradient Descent to train a neural network and you plot the training error at every epoch. If you notice t
Phantasy [73]

Answer:

The answer is "using validation error".

Explanation:

The validation error is used to response the test for one of the queries is activated to the participant, which may not properly answer the question. These errors go up continuously after each time, the processing rate is too high and also the method is different.  

  • These errors are also unless to increase when they are actually in the problem.  
  • The training level will be that, if the learning error may not increase when the model overrides the learning set and you should stop practicing.
6 0
3 years ago
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