Karza Technologies Data Scientist Interview Questions and Answers

Easy questions in python

Q1. L1 regularisation
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Q2. L2 regularisation, deep learning based in depth question
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Q1. Deep learning based questions
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Q2. In depth questions from projectc
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45 minutes test, third party platform for coding, topics - strings and DP

Q1. Explain the working of resnet - is their concatenation or addition in resnets
Ans. 
ResNet is a deep neural network architecture that uses skip connections to address the vanishing gradient problem.
• ResNet stands for Residual Network, which uses residual blocks with skip connections.

• In ResNet, the output of a previous layer is added to the output of a later layer, instead of being concatenated.

• This helps in training deeper networks by allowing the gradient to flow directly through the skip connections.

• ...read more
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Q2. Explain vanishing and exploding gradients
Ans. 
Vanishing gradients occur when gradients become too small during backpropagation, while exploding gradients occur when gradients become too large.
• Vanishing gradients can make training slow and difficult, as the weights are not updated effectively.

• Exploding gradients can cause the model to diverge during training, leading to NaN values and instability.

• Vanishing gradients are common in deep neural networks with many laye...read more
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Q3. Questions related to resume and projects done in detail - with cross-questioning
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