Behavioral question. Then how would you design a spam filter. Then lots of questions on logistic regression, gradient descent, naive Bayes, etc. etc. Then a difficult coding question involving recursion.
Data Scientist Machine Learning Interview Questions
467 data scientist machine learning interview questions shared by candidates
Desciption of my project thesis. Questions related to thesis.
The first part, the interviewers knew the area of machine learning extensively, and they asked me lots of theoretical question. The second part, they gave me an example of research plans and asked me how to approach this problem. The third part, the coding was simple; the numerical sorting question in Python. They connected the video chat from a medium size of a conference room, therefore the sound quality was not good. It was difficult for me to listen to the question even using headphone.
Behavioral ones are drawn from their "leadership principles" and they ask you for examples from your experience. Not sure if those questions are pure bureaucracy or actually used for a decision. Lots of machine learning 101. Explain your past research projects. Whiteboard coding.
What kind of methods should be used if the clients need to interpret the features?
Explain Logisitc Regression and how would you classify reviews on Amazon website without having a well labeled data set
Describe a project that was failed
General motivation questions. Take home test was to build a recommender system for a dataset they had.
What is a technical project that you are most proud of?
Tell us about a machine learning project you successfully delivered.
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