Answer:
Index Finders
Explanation:
* The search engine keeps the data in an index that is known as index finders which consist of the information almost all query and searching keyword.
* when we search for any website in Google, Yahoo or Bing, it searches from the keyword in the index finder and provides the correct matches.
* Index finders make the searching process too easy otherwise it is too difficult to search for different queries too fast from different pages.
Answer:
The correct answer to the following question will be "Data".
Explanation:
- Data would be any series of one or even more signs which are given significance by unique classification action. To become knowledge the data needs to be interpreted.
- Data is generally considered to be the "bridge" that connects the designer's machine part with the practical side.
Therefore, this will be the right answer.
Selah infects the ads on a website with a technique called the Watering hole attacks.
<h3> What is Watering hole attacks?</h3>
The Watering hole attacks is known to be a form of attack that depends on compromising or infecting a website that has or that targeted users who are known to often frequently visit.
So, Selah infects the ads on a website with a technique called the Watering hole attacks.
Learn more about malware from
brainly.com/question/399317
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Answer:
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.
