Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Intern Interview Questions and Answers

Questions were mix of mcq and coding in which coding was easy to medium level.

Q1. A breif intro about me
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Q2. My resume especially my projects and tech stacks used in it
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Q1. About machine learning basics and on resume
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Q1. About resume and deep learning a bit off
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Q1. I didn't make up to HR round
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It was an easy one with basic aptitude and basics of programming

Good level of coding questions

Q1. What is machine learning
Ans. 
Machine learning is a subset of artificial intelligence that involves the development of algorithms and statistical models to perform specific tasks without explicit instructions.
• Machine learning is a subset of artificial intelligence.

• It involves the development of algorithms and statistical models.

• These models are trained on data to make predictions or decisions.

• Examples include image recognition, natural language pro
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Q2. Types of machine learning and difference between ML and deep learning
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Types of machine learning include supervised, unsupervised, and reinforcement learning. Deep learning is a subset of ML using neural networks.
• Supervised learning: Uses labeled data to make predictions, such as classification or regression.

• Unsupervised learning: Finds patterns in unlabeled data, like clustering or dimensionality reduction.

• Reinforcement learning: Learns through trial and error to maximize rewards, common...read more
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Q1. Resume questions
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Two data structure medium level coding questions

Q1. Just gone through the resume stuffs
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