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I applied via Recruitment Consulltant and was interviewed in Nov 2023. There was 1 interview round.
Transformers are models used in natural language processing tasks, known for their ability to handle long-range dependencies.
Transformers use self-attention mechanism to weigh the importance of different words in a sentence.
They consist of encoder and decoder layers, with each layer containing multi-head attention and feed-forward neural network.
Examples of transformer models include BERT, GPT-3, and TransformerXL.
Use techniques like oversampling, undersampling, SMOTE, or ensemble methods to train a model with imbalanced data.
Use oversampling to increase the number of minority class samples.
Use undersampling to decrease the number of majority class samples.
Use Synthetic Minority Over-sampling Technique (SMOTE) to generate synthetic samples for the minority class.
Utilize ensemble methods like Random Forest or Gradient Boosting to
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I applied via Naukri.com and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Campus Placement and was interviewed before Oct 2020. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Apr 2020. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Oct 2019. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Dec 2020. There were 3 interview rounds.
I was interviewed in Apr 2020.
I applied via Walk-in and was interviewed before May 2019. There were 5 interview rounds.
I applied via Recruitment Consultant and was interviewed before Jul 2020. There were 3 interview rounds.
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