Convolution, pooling, decision trees, ANOVA analysis
Machine Learning Internship Interview Questions
8,221 machine learning internship interview questions shared by candidates
Q: Describe neural network training process
Basic machine learning questions for interview
Why was I interesting in the position? What are weights and biases? How would I handle a disgruntled customer? Do I have experience with threading?
What is your experience with machine learning?
Coding: Two Leetcode questions first was easy-ish but need optimal solution and second was easy maybe medium and needed optimal solution. Definitely discussing time and space complexity. ML Concepts: Just someone incredibly knowledgeable and thorough asking very details technical questions about all the models on your resume, about choices made, subtle differences between models. Explain gradient boosting etc.. difference between XGBoost and LightGBM.
Tell me about one of your past projects and how you used ML? What was one of the biggest challenges in this project?
Familiarity with version control, software development processes, questions about debugging processes.
Coding, Machine Learning knowledge, probability and statistics, past projects.
There were a couple technical problems, mostly it seemed to confirm the things on my resume, but much of the interview process involved talking about past work experiences/projects and my approach and challenges faced in both.
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