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Machine Learning Engineer Interview Questions
6,173 machine learning engineer interview questions shared by candidates
My deep learning experience previously
Basic questions on python functions like lambda. Basic ML questions.
My previous exprience, questions about the coding task
What is the concept of inheritance? What is Python list comprehension? What is Git?
dynamic programming to partition array with minimum sum difference.
- Explain the concept of overfitting in machine learning and describe techniques to mitigate it. - How would you approach feature selection and feature engineering for a given machine learning task? Provide examples of relevant features for a sentiment analysis problem. - Discuss the differences between supervised learning and unsupervised learning algorithms. When would you choose one over the other for a given problem? - Describe the working principles of convolutional neural networks (CNNs) and their applications in computer vision tasks. How do they handle spatial hierarchies and achieve translation invariance? - Suppose you are given a dataset with imbalanced classes for a binary classification problem. How would you address this issue and improve the performance of the model? Explain different techniques you can use, such as oversampling, undersampling, or cost-sensitive learning.
Behavioural example: What was an impactful way you helped someone at your workplace? Coding example: You're given a list of integers, where each integer occurs exactly twice, except for one which only occurs once. Find that unique integer.
About inferential statistics and count values
What would you do if you built a prediction model but there is a new category in test set which didn't appear in the training set?
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