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How to Use Special Keys in UNIX

UNIX operating system has some special keys. These you can use to interrupt the program processing or to resume it. The file management and keys totally different in UNIX kinds of operating systems. 



An example of a UNIX special key and its use.
Why You Need Interruption
A scenario where you made some mistake in the input command and you need to stop the further process. Then you can use the CTRL+C command. It is equal to the DELETE command.

List of UNIX Special Keys


RETURN key — The RETURN key signifies the end of a line of input. On any terminal, RETURN has a key of its own, or return may be typed by holding down the control key and typing a 'm'.Ctrl-m
Hint: Ctrl-m command is equal to RETURN key in Unix systems


DELETE: The DELETE key stops a program/command immediately, without waiting for it to finish. DELETE can be achieved equivalently with ctrl-c.
Hint: Ctrl-c Command you can use to interrupt the process.


Ctrl-s: Ctrl-s pauses the output and the program is suspended until you sta…
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Quick Guide: Machine Learning Examples and Uses

Machine learning

I want to share with you the best real-time examples on machine learning. Because of new computing technologies, machine learning today is not like machine learning of the past. 

While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development.

Machine learning use cases
  • The heavily hyped, self-driving Google car? The essence of machine learning. 
  • Online recommendation offers like those from Amazon and Netflix? Machine learning applications for everyday life. 
  • Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation. 
  • Fraud detection? One of the more obvious, important uses in our world today.
Best example: "pattern recognition" is best example for Machine Learning
Where can you apply machine learning. The following are the key areas you can apply machine learning.
  1. Fraud detection.
  2. Web search results.
  3. Real-time ads on web pages and mobile devices.
  4. Text-based sentiment analysis.
  5. Credit scoring and next-best offers.
  6. Prediction of equipment failures.
  7. New pricing models.
  8. Network intrusion detection.
  9. Pattern and image recognition.
  10. Email spam filtering.

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