Talentica Software Data Scientist Interview Questions and Answers

Q1. Bias variance trade off
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Q2. What is AB testing
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AB testing is a method used to compare two versions of a webpage or app to determine which one performs better.
• AB testing involves creating two versions (A and B) of a webpage or app with one differing element

• Users are randomly assigned to either version A or B to measure performance metrics

• The version that performs better in terms of the desired outcome is selected for implementation

• Example: Testing two different call...read more
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Q3. Basic traditional ML question about ML metrics, bagging boosting etc.
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It was a classification problem

Q1. Questions about assignment
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Q2. Questions from resume.
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Q3. Questions based on probability, statistics and loss functions
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Q1. About CNN architecture and how it is relevant for textual data
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CNNs can effectively process textual data by capturing spatial hierarchies and local patterns in text.
• CNNs use convolutional layers to extract features from text, similar to how they process images.

• They can capture n-grams (e.g., phrases) by applying filters of varying sizes across the text.

• Pooling layers help in reducing dimensionality while retaining important features, making the model more efficient.

• Example: Text c...read more
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Q2. Questions related to probability therom
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I was given assigment on a simple problem where task was to analyse and create a working solution for a problem statement

Q1. What is bert algorithm? How does it work.
Ans. 
BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained natural language processing model.
• BERT is a transformer-based machine learning algorithm developed by Google.

• It is designed to understand the context of words in a sentence by considering both the left and right context simultaneously.

• BERT has been pre-trained on a large corpus of text data and can be fine-tuned for specific NLP tasks like ...read more
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Q2. Can you explain regression in logistic regression?
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Logistic regression is a type of regression analysis used to predict the probability of a binary outcome.
• Logistic regression is used when the dependent variable is binary (e.g. 0 or 1, yes or no).

• It estimates the probability that a given input belongs to a certain category.

• The output of logistic regression is transformed using a sigmoid function to ensure it falls between 0 and 1.

• It uses the logistic function to model ...read more
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