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Sedaia [141]
2 years ago
11

Choose the answer that best completes the visual analogy.

Computers and Technology
1 answer:
poizon [28]2 years ago
7 0

Answer:

asfdasfafaw

Explanation:

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Kindly check Explanation.

Explanation:

Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.

Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.

Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.

A to B mapping or input to output refers to the feature to target mapping.

Where A or input represents the feature parameters and B or output means the target or label parameter.

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What is the function of ROM?
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Answer:

Hello, There!

<h2>Your Question↓</h2>

What is the function of ROM?

<h2>Answer↓</h2>

Allows parts of the computer to communicate is the Correct Answer.

Explanation:

<h2>Now you May Ask What does it do or How it works↓</h2>
  • ⇒ROM provides the necessary instructions for communication between various hardware components.
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Tip: Wanna know how to earn points back for asking your Question?

If you do it's easy just when two people answer your question whichever answer you think is the best click the crown on the side to get 25% of your points back! :D

Therefore, I hope this helps!

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if you need help let me know

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