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Machine Learning Specialist Interview Questions
8,210 machine learning specialist interview questions shared by candidates
Q) Regarding Resume Projects Q) Questions on OS concepts Q) Kernal and Filters Q) ML models suitable for task
What is a major challenge you faced and how do you overcome it
My deep learning experience previously
Basic questions on python functions like lambda. Basic ML questions.
What projects have you worked before?
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.
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