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      Feynn Labs

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      Machine Learning Intern Interview

      May 12, 2025
      Anonymous interview candidate
      Dehradun

      Other Machine Learning Intern interview reviews for Feynn Labs

      Machine Learning Intern Interview

      Dec 29, 2025
      Anonymous interview candidate
      No offer
      Positive experience
      Average interview
      No offer
      Neutral experience
      Difficult interview

      Application

      I applied online. The process took 1 day. I interviewed at Feynn Labs (Dehradun) in May 2025

      Interview

      They asked for defining max pool in CNN from Deep learning, and difference between linear and logistic regression, and what is the use of kernel in Support Vector Machine algorithm, also asked for what projects have worked on?

      Interview questions [1]

      Question 1

      What is Kernel in SVM model?
      Answer question

      Application

      I applied online. I interviewed at Feynn Labs in May 2025

      Interview

      It was mostly project based and then they asked easy questions until they started asking little specific questions, a little deeper into the topic like SVMs. All over it was a good experience.

      Interview questions [1]

      Question 1

      difference between linear and logistic regression
      Answer question

      Machine Learning Intern Interview

      Mar 16, 2025
      Anonymous employee
      Hyderābād
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied online. I interviewed at Feynn Labs (Hyderābād) in Mar 2025

      Interview

      Feynn Labs is a well-known AI research and development company. The interview process at Feynn Labs typically involves a series of technical and behavioral assessments to evaluate a candidate's skills and fit for the role. This include: Initial screening and resume review Technical interviews to assess coding skills and knowledge of AI and machine learning concepts Behavioral interviews to evaluate communication skills, teamwork, and problem-solving abilities Presentations or project-based assessments to evaluate a candidate's ability to apply AI and ML concepts to real-world problems A final round of interviews with senior leadership or a panel of experts. It's worth noting that the specific steps and requirements may vary depending on the role and location.

      Interview questions [1]

      Question 1

      Describe the concept of "Bias-Variance Tradeoff" and how it relates to model complexity and generalization.
      Answer question