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Anton [14]
3 years ago
8

Within a major students can choose to study a specific area within major. For example a journalism student may study military jo

urnalism or business journalism the specific area is called
Computers and Technology
1 answer:
Tpy6a [65]3 years ago
6 0

Answer:

Specialization

Hope this helps!

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Which of the following is a hand-drawn animation that takes a large amount of time to complete?
elixir [45]

Answer:

Where are the choices?

Thanks for adding the choices at the comment secion

  1. 2D animation
  2. 3D animation
  3. Stop Motion  
  4. Celluloid animation

A- Celluloid Animation

4 0
3 years ago
Why is linux referred to as open source software?
ss7ja [257]
<span> </span>Linux<span> is a computer operating system, like Microsoft Windows or Apple Mac OS they call it Free </span>Software/Open Source<span>, or Socially Responsible </span>Software<span>. Closely related is the concept of </span>Open Source Software<span>.</span>
7 0
3 years ago
An Acceptable Use Policy (AUP) are designed for the purpose of _____.
Vladimir79 [104]

Answer:

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7 0
2 years ago
List the various cases where use of a NULL value would be appropriate.
melomori [17]

Answer:

The answer is below

Explanation:

There are cases where the use of a NULL value would be appropriate in a computer programming situation. These cases can be summarily described below:

The first case is in a situation where the value of the attribute of a certain element is known to exist, but the value can not be found

The second case is in a situation where the value of the attribute of a certain element is not known whether it exists or not.

4 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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