What is regularization, and how does it help in machine learning models?
Machine Learning Researcher Intern Interview Questions
1,879 machine learning researcher intern interview questions shared by candidates
The interviewer from the start of the interview was curious about the architecture of the product i am working on. all the question were asked regarding the with the technologies why and how it was coupled / used. i begin to suspect after the 2 round where similar questions were asked about the tech stack of the product which i felt irrelevant to the position.
Basically silly ones about telephone/complaints processes and ML could be used
How will you end to end deploy a ML Model, Logistic Regression, CNNs and LLMs
MMMMM, FFFFFF. he asked me Write an algorithm for indexing, outputting the it in non biased order. ( Round Robin ) . Evaluation metrics for these (Diversity Index (e.g., Shannon Index)) etc.
How I attempted the ML question asked in CBT
Usual questions: - Overview of experience - Years of experience with X tool/language - Specific questions about the potential tasks to be carried out in the role Weird questions: - Did you work with international teams? People from which country? - How many years of experience do you have with X language? You must not add the time you used outside your job experience, like the university
Assessment includes some maths, numbers and games.
To tell about myself and introduce me
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