NielsenIQ Intern Interview Questions and Answers

Q1. What is Stochastic Gradient Descend?
Ans. 
Stochastic Gradient Descent is an optimization algorithm used to minimize the cost function in machine learning by updating parameters iteratively.
• SGD is a variant of Gradient Descent that updates the model's parameters using a single training example at a time.

• It is computationally efficient and is commonly used in large-scale machine learning tasks.

• SGD is suitable for online learning and can handle large datasets eff...read more
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Q2. How to improve SGD?
Ans. 
To improve SGD, consider adjusting learning rate, using momentum, implementing learning rate schedules, and adding regularization techniques.
• Adjust learning rate: Experiment with different learning rates to find the optimal value for faster convergence.

• Use momentum: Incorporate momentum to accelerate SGD in the relevant direction and dampen oscillations.

• Implement learning rate schedules: Decay the learning rate over ti...read more
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Easy to Medium level questions the time duration for the test was 45 minutes and number of questions were 30

Easy to Medium 3 question 2 were easy and one was a medium level question the topics were brute force , greedy I had completed 2 questions

Q1. SQL queries on joins
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Q2. Approach of questions solved in coding round
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Q3. Questions on projects mentioned in resumes
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Q4. Simple Coding question
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Q5. Guessing the Output of the code snippets
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