SP Design Developers Machine Learning Intern Interview Questions and Answers

Python questions + Machine Learning (Breadth)

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Python questions (DSA + Pandas)

Business case study related to merchant default

Q1. ML questions about loss functions, algorithms, models and neural networks
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Q1. Difference between BERT and GPT
Ans. 
BERT is bidirectional, GPT is unidirectional. BERT uses transformer encoder, GPT uses transformer decoder.
• BERT is bidirectional, meaning it can look at both left and right context in a sentence. GPT is unidirectional, it can only look at the left context.

• BERT uses transformer encoder architecture, while GPT uses transformer decoder architecture.

• BERT is pretrained on masked language model and next sentence prediction ta...read more
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Q2. Explain the attention mechanism
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Attention mechanism allows models to focus on specific parts of input sequence when making predictions.
• Attention mechanism helps models to weigh the importance of different parts of the input sequence.

• It is commonly used in sequence-to-sequence models like machine translation.

• Examples include Bahdanau Attention and Transformer models.
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Q3. Bias and variance trade off
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Q4. How to deal if the distribution of a variable is skewed
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To deal with skewed distribution of a variable, transformations like log, square root, or box-cox can be applied.
• Apply log transformation to reduce right skewness

• Apply square root transformation to reduce left skewness

• Apply box-cox transformation for a more generalized approach

• Consider removing outliers before applying transformations
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Python code to determine the least common sub word in a given list with strings