There were 2 business cases related to their basic problems like hotel recommendation. You need to start describing the solution, taking into account the lack of users at the beginning, and how the solution will be improved in the future.
Machine Learning Developer Interview Questions
8,221 machine learning developer interview questions shared by candidates
Nothing unexpected!
They focused about Machine Learning Models, especially Decision Trees and Random Forest
overfitting, optimizers, learning rate, dropout, batch normalization, Python, git, system design, software engineering, case study, ... and much more..
Mostly resume-based (helps if you have good ML projects)
Explain SVM ,RF, how overfitting handled
No questions asked in the initial interview.
Can you explain the concepts of Type I and Type II errors in hypothesis testing?
analyse d'un jeu de données, entraînement de plusieurs modèles de classification, analyse des résultats
How would you tackle an ML project overall?
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