EPAM Systems Data Scientist Interview Questions and Answers for Experienced

Q1. About Resume and basic ML
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Q1. About Resume and basic ML
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Q1. NLP and Computer Vision based Question were asked.
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Q1. General Questions on Machine Learning and deployments technique
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Q1. Salary Negotiations and joining discussion
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Q1. Model evaluation and performance metrices
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Q2. Explaination of bagging and boosting techniques
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Bagging and boosting are ensemble techniques used to improve the accuracy of machine learning models.
• Bagging involves training multiple models on different subsets of the training data and then combining their predictions through voting or averaging.

• Boosting involves iteratively training models on the same data, with each subsequent model focusing on the samples that the previous models misclassified.

• Bagging reduces va...read more
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It consisted of a single coding question.

Q1. Result not yet given
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Q2. Not yet declared. if declared I will complete it
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There was details syllabus and couse cover

Around 20 people participating in o e gd

Q1. General information about you
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