Data Science Interview Questions

For hiring 2-5yrs exp, Some basic and intermediate questions

1.  What experience do you have in developing deep-learning models for computer vision applications?
2. What challenges have you encountered while working with deep learning models?
3. How have you optimized deep learning models for speed and accuracy?
4. What techniques have you used to improve the accuracy of deep learning models?
5. What experience do you have in deploying deep learning models in production?
6. How have you evaluated the performance of deep learning models?
7. How have you handled data imbalance in deep learning models?
8. What experience do you have in developing transfer learning models?
9. How have you used reinforcement learning in deep learning models?
10. What experience do you have in developing generative models?
11. How would you design a deep-learning model to detect objects in a video stream?
12. How would you design a deep-learning model to classify images?
13. How would you design a deep learning model to detect anomalies in time-series data?
14. How would you design a deep-learning model to generate text?
15. How would you design a deep-learning model to identify faces in an image?
16. How would you design a deep-learning model to detect fraud in financial transactions?
17. How would you design a deep-learning model to predict stock prices?
18. How would you design a deep learning model to detect objects in a 3D environment?
19. How would you design a deep learning model to detect anomalies in a network?
20. How would you design a deep-learning model to generate music?

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