The answer is D
<span>D) It allowed computers to be smaller because the chip allowed for the creation of computer components with varying capabilities.</span>
Answer:
Theoretically Yes
Explanation:
The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training dataset. However, you should definitely never expect such thing In any real-life problem because the data is noisy, for a bazilion of reasons, so no model is guaranteed to perform perfectly.
Answer:
The answer to this question is given below in the explanation section.
Explanation:
The correct answer is:
Conner has located a research source that is sponsored by a pharmaceutical company. Based on the sponsorship, Conner must be careful that the information is not <u>Biased.</u>
<u></u>
When you evaluate and use information from multiple sources, you need to evaluate the information that it must be error-free and not biased and it should be accurate information as you needed.
As in this example, Conner needs to research that the information should not be biased because the information or research source is sponsored by a pharmaceutical company and there is chances of biasedness. So, Conner must be careful that information is not biased.
Answer:
The answer is "except IOError:"
Explanation:
It is part of the exception handling, that stands for input/ output operation fails, this exception aeries when we attempting to access an anti-existent file, in the program so, it will give the program related errors.
- This type of error is handled in the try block, it also allows you to prepare the deal with the exceptional block.
- It also helps you to hide the bugs by using code, if you handle an unexpected error.
Answer: Click the System Preferences icon on the dock. In the first row, click Desktop & Screen Saver.
Explanation: When it comes to macOS versions, Mojave and High Sierra are very comparable. The two have a lot in common, unlike Mojave and the more recent Catalina.
