Machine learning scientist interview questions shared by candidates
Feature extraction, given their situation, how would you do! He was particular on the existing methods and why Mostly asked in depth about my projects relevant to this position
Python: Version of Python used, and why? Which unit tests have you used on Python projects? Have you used scikit-learn library? Which algorithms have you used from there? What is a list comprehension in python, and how you use it? Are you familiar with "generator comprehension"? What is PEP8? What "pass" does in python? What python libraries have you used? How to resolve inter-dependencies of libraries? What is python "with" statement?
ML: What is a difference between supervised and unsupervised learning? Give an example of both. How SVM algorithm works (general description)? How to make sure you are not overfitting while training a model? How you measure accuracy or the error rates? Spark: What is RDD? Why would you ever cache an RDD?
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