Explain SVM ,RF, how overfitting handled
Machine Learning Developer Interview Questions
8,221 machine learning developer interview questions shared by candidates
Summarise my research publications to date
No questions asked in the initial interview.
overfitting, optimizers, learning rate, dropout, batch normalization, Python, git, system design, software engineering, case study, ... and much more..
MLOPS fundamental questions were asked
Mostly resume-based (helps if you have good ML projects)
They focused about Machine Learning Models, especially Decision Trees and Random Forest
The questions were about machine learning algorithms
The hr asked me 6 times or more about my expected salary
Can you explain the concept of Cross-Validation? What is the idea behind boosting?
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