<u>Hi dear user! </u>
<u>Hope my answer helps you and solve your queries. </u>
First of all,
ISP which is an acronym of Internet Service Provider, keeps the track of all the activities their users perform through their network.
For eg :-
You have a connection of Airtel, whatever you will access through your Airtel network will always be tracked by your ISP which is Airtel. If you delete your search/download history from your phone/laptop, still it can be seen by Airtel, you cannot delete from there end. Even if you access anything in incognito mode, then your browser does not stores your data but your ISP still can see what all you accessed in incognito mode.
Now coming to your next question,
If you delete your data from your phone or laptop, it is still somewhere saved in the hard drive of that device. The file is deleted from the device but it's hard drive still have that file, and anyone can access to that data by using a certain software but for that, the person will also need your hard drive. There are certain softwares like Disk Drill which is used to recover the hard drive's data.
Hope your queries are resolved !
Click the Word Count in the Proofing Group. Maybe the name is the Bottom ribbon tab
The answer that isn't an example of plagiarism would be 'D. Quoting with Source' that means you are giving credit where credit is due and not taking or copying other work which is the definition of plagiarism.
I'm not sure about the second one but I believe it might be 'A. Students and Teachers'.
Hope this helped!
Use a Ghost program follow throught with 2hyttlg5:6\:56
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>
