How to build a spaceship
Machine Learning Intern Interview Questions
8,198 machine learning intern interview questions shared by candidates
Phone: Decode string, e.g. input “3[a2[c]]” output “accaccacc” What if the string is a stream that is not able to fit into the memory? Onsite: LRU Cache Implement KNN, bias variance tradeoff, why curse of dimensionality, discussion of convergence of sgd (or gd), why cross validation Min height tree
Simulate the movement of a bike that can accelerate and steer.
Implement the forward and backward pass of a custom function to enable back-propagation.
What does "back propogation" mean?
Quale è il tup backgorund accademico? Cosa ti aspetti dalla tua posizione?
1. Explain the E2E architecture of a multi-agent system that you have built? 2. Explain how BERT works? 3. How do you evaluate RAG system?
I was asked to discuss some LLM projects I had worked on, exploring the technical aspects and including one or two theoretical questions.
How would I approach one case
A large part of the interview focused on my PhD thesis. After I explained my research at the beginning, the interviewers asked in-depth questions to assess how well I understood my own work. Later, they asked machine-learning–related questions relevant to the role, including hypothetical scenarios about how I would approach and analyze a given type of data etc.
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