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Question 19 of 22 for our LivePerson Mock Interview

LivePerson was written by on February 18th, 2019. Learn more here.

Question 19 of 22

How would you explain machine learning to someone who does not know the industry?

"Machine learning is a term that refers to how computer technology is used to collect information about customers and businesses. The information is then used to help companies make business decisions related to marketing, advertising, and product development."

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How to Answer: How would you explain machine learning to someone who does not know the industry?

Advice and answer examples written specifically for a LivePerson job interview.

  • 19. How would you explain machine learning to someone who does not know the industry?

      How to Answer

      Machine learning (ML) is a part of the AI field (artificial intelligence). Machine learning allows computer systems to 'learn' from the data and statistics that we provide to it. The interviewer knows that the better you understand ML, the easier it will be for you to explain the concept to someone outside of the industry, who may not be as tech savvy as you are. Try preparing a 2-3 sentence 'elevator pitch' on what machine learning is. Keep your reply as simple as possible, and give an example if possible.

      Written by Ryan Brown on February 18th, 2019

      1st Answer Example

      "Machine learning is a term that refers to how computer technology is used to collect information about customers and businesses. The information is then used to help companies make business decisions related to marketing, advertising, and product development."

      Written by Ryan Brown on February 18th, 2019

      2nd Answer Example

      "To best way to explain machine learning to someone outside of the industry would be to give a relatable example. I like to use the example of the Hello Barbie toy. Using machine learning and language processing, Hello Barbie listens and responds to a child's questions. A microphone on the toy transmits the conversation to a hub. The recording is then analyzed to determine the appropriate response. Then, the correct response comes back to the child, in under one second. Answers are stored for future use, and used to help the machine 'learn,' ensuring more accurate answers as time goes on."