I can't remember any questions that they asked.
Learning Technology Interview Questions
2,888 learning technology interview questions shared by candidates
explain your solutions, defend your decisions etc
They focused about Machine Learning Models, especially Decision Trees and Random Forest
- Phone screen - questions about what I am looking for and an overview of the company and its values - Technical Interview - workshop on a specific use case where you have to propose a solution and high level implementation steps.
Typical - when people give you feedback, what is one positive thing and one negative thing they say about you? (not worded exactly like that of course)
leetcode questions, standard ML systems design.
image classification
Basic data science questions (the bias-variance tradeoff, value of random initialization), RNN basics, backpropagation.
What the salary expectations were.
Can you explain the difference between supervised and unsupervised learning? How do you handle overfitting in a machine learning model? Describe a machine learning project you’ve worked on and its biggest challenges. What are the steps you follow for feature engineering? How do you evaluate model performance? What metrics do you use? Can you explain regularization techniques like L1 and L2? How would you scale a machine learning model for large datasets? What’s the importance of hyperparameter tuning, and how do you approach it? Describe the difference between bagging and boosting. How do you deploy machine learning models in production?
Viewing 1281 - 1290 interview questions