proper definations and process of pytorch library .
Ml Engineer Interview Questions
2,740 ml engineer interview questions shared by candidates
Explain your project. Why did you choose the DNNs and these specific tools. Explain the evaluation metrics you used. How did you tackled preprocessings. Explain the loss function you chose to implement.
Creating an ML Model from real life like data and Measuring it's performance. Showing your own perspective on feature engineering.
How do decision trees classify
Can’t reveal this, but do your research and come prepared.
Why Amazon and why now?
Was asked to read out a paragraph in my regional language.
How would you handle imbalanced datasets in a classification problem, and which evaluation metrics would you prioritize and why
They mainly focused on basic ML concepts and the technical depth of my ML project. Everything went smoothly, but I struggled with one linked list question and one SQL query, which affected my final selection.
Continue to previous question, observe the given data set, write a non-linear transformation function, for independent variables, may improve the classification task.
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