Answer:
The answer to this question is given below in the explanation section.
Explanation:
You can submit your course work most often in a Word document. Because in the word document, you can insert text, numbers, images, charts whatever you want such as required for writing a book- easily.
The correct options to this question, that you should need to avoid using to create and submit course work are pages, numbers, and keynote.
Because while submitting the course work, you need to submit a complete word document, it is not required to you that you have to submit numbers, pages, or keynotes along with the course assignment. You can create a course assignment or project document in word and submit to your respective teacher. However, you can not create your course work using keynotes or pages, etc as given in the question.
Answer:
never gonna give you uppp
Explanation:
criiiiii
text effects, and typography.
It really is hard to say because there are many slots and we do not know what your teacher is teaching. I have seen a lot of teachers teaching out of date material. With that said, here is a list from best to worst.
PCI Express x16
PCI Express x1
AGP
PCI
This is list is based on greatest to least and base on the bandwidth read and write speed.
Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
