First interviewer tested me on basic probability (Bayes rule etc), binary classification (saw if I knew precision/recall under a heavily unbalanced prior), and signal processing (sampling, aliasing). The coding part was to generate all ordered substrings of a given string. The 2nd interview was a basic test on probability followed by a coding problem (implement linked list, append operation, do in place reversal of list using a single walk through the list). Problems on the final interview were coding problems and basic number theory (implement binary search, implement FIR convolution, estimate frequency of a sine wave signal based on zero crossings, implement divisibility tests for various primes).
Learning Technology Interview Questions
2,990 learning technology interview questions shared by candidates
Tell me about yourself. What do you think you can bring to this role?
How much do you know about deep learning?
1. x and y are lists. If x = y and y has been changed, what happens to x? 2. Explain ROS topic latch 3. Explain ROS queue size and how the various data types affect it 4. What are the containers in std standard library and name a few 5. Explain virtual functions in C++ 6. Struct vs Class in C++ 7. Reference vs pointers 8. What's the difference between NumPy max and argmax? 9. Explain multithreading in python and what are its disadvantages compared to C++ 10. Difference between SGD and Adam optimizer. Where do you use them? How does the learning rate work with each? 11. Overfitting vs underfitting in ML 12. Explain batch normalization 13. Difference between shared pointer and unique pointer 14. Techniques to mitigate the overfitting and underfitting 15. Dropout 16. Resnet 17. Difference between different loss function and where do you use them 18. Explain normalization 19. Explain what is public, private , protected in C++
finance, logic and psychology test
HR: Why did you apply? How long are you going to stay? Introduce yourself. Technology: Introduce yourself. Difficulty in technology development Various deep learning techniques, but basic questions. What is softmax? How do you do it?
What is a confusion matrix? calculate precision and recall.
What Would you do in XYZ situation What kind of Projects have you managed in the past. What kind of material have you developed.
What technologies would you use for a multi-cloud solution?
What feature store have you used
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