Dandy | Machine Learning Engineer | Interview Experience
Interview Date: Not specified
Result: Not specified
Difficulty: Not specified
Interview Process
The first round was a 30-minute phone interview focusing on machine learning fundamentals. After a brief introduction, the interviewer did not delve deeply into the resume and instead asked foundational ML questions.
Technical Questions
- Neural Networks: What would happen if all activation functions in a neural network were replaced with (y = x)?
- Cross-Validation: Compare N-fold CV (Leave-One-Out Cross-Validation) and 5-fold CV in terms of their performance in estimating test time error.
- Computer Vision: Given a photo with multiple people and unknown camera focal length and distance, how would you predict their heights? How would you choose the loss function?
- Sorting Algorithms: Given a set of floating-point numbers, how would you design a neural network to sort them?
Tips & Insights
Focus on understanding the fundamentals of machine learning, including neural networks and cross-validation techniques. Be prepared to explain your thought process and the rationale behind your choices, especially regarding loss functions and algorithm design.