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Machine Learning Interview Questions

"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."

8,210 machine learning interview questions shared by candidates

Example Questions: Q: How would you visualize and present a particularly complex data set? Q: How would deal with a high dimensional data set? Q: What ML techniques are you familiar with and what are the tradeoffs between them?
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Machine Learning Engineer

Interviewed at Whip Media

3.5★
Aug 8, 2020

Example Questions: Q: How would you visualize and present a particularly complex data set? Q: How would deal with a high dimensional data set? Q: What ML techniques are you familiar with and what are the tradeoffs between them?

Questions were machine learning and probability statistics. In the telephonic round questions from resume and basic regression and decision trees were asked. In both face to face rounds interviewers started from CV based machine learning questions and went very deep in each algorithm. Probability questions like the monty hall problem were also asked.
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Machine Learning Engineer

Interviewed at Adobe

4.1★
Mar 31, 2016

Questions were machine learning and probability statistics. In the telephonic round questions from resume and basic regression and decision trees were asked. In both face to face rounds interviewers started from CV based machine learning questions and went very deep in each algorithm. Probability questions like the monty hall problem were also asked.

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Glassdoor has 8,210 interview questions and reports from Machine learning interviews. Prepare for your interview. Get hired. Love your job.