scenario analysis probability calculation past experience
Machine Learning Interviews
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."
8,195 machine learning interview questions shared by candidates
Give a scenario that the project requirement is ambiguous, how do you deal with it
Stuff about Spark, Kinesis, SQL, Tensorflow, PyTorch
1. Considerations while building ML pipelines. 2. How comfortable you are with writing YAML, shell scripting 3. ML basics 4. 1 Leetcode Easy question
ML system design, coding, etc.
What features would you use to predict the lifetime values of a customer?
Can you walk us through your resume?
What experience do you have in developing machine learning methods
Apart from questions about the past work the main focus in the interviews was about how to solve different bussiness problems with machine learning. I recommend to spend enough time on searching the information about the problems which Booking.com solves using machine learning during a preparation to an interview.
Describe the time when you let go of a short time goal for a long time goal.
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