Questions related to Machine Learning, discussing ML concepts from math, stats and ML fundamentals perspective, as well as how these computations are vectorized
Machine Learning Intern Interview Questions
8,231 machine learning intern interview questions shared by candidates
What is stochastic gradient descent ?
What is overfitting, how do you identify it, and how do you correct it?
One key question focused on how my skills and past experiences would add value to their team.
The interview focused on ML fundamentals and evaluation metrics. We also went through a practical case related to face analysis and image generation
Fill in missing functions in code (3 interviews), a discussion interview based on cases that may occur in a company (success stories, dealing with difficulties, etc.), and a technical discussion interview based on a business problem.
Describe how diffusion models work
Talk about your experience with LLMs and RAG.
Principalmente live coding sobre LLMs
What is the current tools that I utilize on my current work.
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