Infosys Artificial Intelligence Developer Interview Questions and Answers

Q1. Over fitting and underfitting ?
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Q2. What is P value and what is its significance?
Ans. 
P value is a statistical measure that helps determine the significance of results in hypothesis testing.
• P value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

• A small P value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

• A large P value (> 0.05) suggests weak evidence against the null hypothesis, leadi...read more
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Q3. Explain your projects. Explain about RAG
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Write a code to reverse a list. Write a code to add value to a dataframe and edit the value in data frame

Q1. Tell about yourself.
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Q2. Explain projects. How much will you rate yourself in technical knowledge
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Q1. Describe any of your past projects
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Q2. Projects based questions
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Q1. Few python and sql coding questions
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Q2. Questions on past projects
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It was a campus placement during my second year of Mtech. So they followed the usual standard format. Aptitude and personality quiz.

Q1. Tell me about yourself favourite subject Python Libraries Projects Data science (NLP)
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Q1. The usual tell me about yourself and some casual conversation.
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Q1. Techno-managerial interview. It was to know overall what areas have you worked, communication skill, What technologies have you used etc.
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Q2. Which project are you working? what do you know about Aws sagemaker? How to inference the deployed models on sagemaker instance?
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Q1. Asked various ai related basic questions, algorithms and basics of python.
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Q1. Basic Computer Vision questions
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Q2. What is convolution
Ans. 
Convolution is a mathematical operation that combines two functions to produce a third function.
• Convolution involves sliding one function over another and multiplying the overlapping values at each point.

• It is commonly used in signal processing, image processing, and neural networks.

• In image processing, convolution is used for tasks like blurring, sharpening, edge detection, etc.
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Q1. What algorithm to use for an Imbalanced dataset
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Q2. How to balance precision and recall
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Questions related to Python ML and AI

Q1. Salary discussion
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