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Ml Engineer Interview Questions
1,785 ml engineer interview questions shared by candidates
Standard questions on logistic and on machine learning
data structure and probabilistic. I had seen both questions before but the interviewer wanted proof for probabilistic and a very detailed and clean explaination of the data structure which was like a coding problem where you define the data structure and explain what each function should do.
ML models generalization v/s memorization.
proper definations and process of pytorch library .
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.
Continue to previous question, observe the given data set, write a non-linear transformation function, for independent variables, may improve the classification task.
How would you rate your Python knowledge?
Difference between list and tuple
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