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?

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.

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.