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Machine Learning Mock Interview

Question 18 of 20 for our Machine Learning Mock Interview

Machine Learning was updated by on January 18th, 2021. Learn more here.

Question 18 of 20

Can you discuss the difference between supervised and unsupervised machine learning and when each one is used?

"The key difference between supervised and unsupervised machine learning is the labeling of the data. Supervised learning labels the data to train the model to place the data in a specific group. Unsupervised learning does not require the data to be labeled and groups it all together. The type of learning you use depends on the model you are creating and the objective of the study."

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How to Answer: Can you discuss the difference between supervised and unsupervised machine learning and when each one is used?

Advice and answer examples written specifically for a Machine Learning job interview.

  • 18. Can you discuss the difference between supervised and unsupervised machine learning and when each one is used?

      How to Answer

      You should recognize this as a technical question since it asks you to compare two concepts used in a machine learning engineer's work. When responding to this type of question, you should first define each concept and then compare the differences or similarities. Providing the interviewer with an example relevant to their business operations will strengthen your answer.

      Written by William Swansen on January 18th, 2021

      Answer Example

      "The key difference between supervised and unsupervised machine learning is the labeling of the data. Supervised learning labels the data to train the model to place the data in a specific group. Unsupervised learning does not require the data to be labeled and groups it all together. The type of learning you use depends on the model you are creating and the objective of the study."

      Written by William Swansen on January 18th, 2021

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