Machine Learning Mock Interview

Practice 20 Machine Learning interview questions covering algorithms, model evaluation, and deep learning fundamentals.

Question 4 of 20

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

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William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.

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.

William Swansen

"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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