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Machine Learning Research Interview Questions
1,879 machine learning research interview questions shared by candidates
Two multiple choice questions about machine learning models, One that was closer to basic data science Two to implement machine learning algorithms "from the ground up"
2x ML questions regarding hyperparameter tuning
What is regularization? Its types, why it’s used, etc.
Calculation for neural network with different activation functions
i did not get to the actual interview
1. What's more difficult to optimize - nonconvex or convex? 2. What activation function does better with vanishing gradient - ReLU or sigmoid? 3. Does vanishing gradient happen closer to the beginning or end of the neural network? 4. medium-level backtracking question
Online assessment (75 minutes): 6 choice problems, 1 neural network calculation, 1 coding and 2 ML coding. The ML coding problem is decision tree and random forest ML system design interview Q1: how to design the user embedding? Q2: how to design a ML system for unsafe content detection? Coding interview: medium to hard level leetcode questions (not the same problem)
Depends on the team, machine learning, oop, data structure
Coding test included how to split up rows of a table / dataframe across multiple processes and shuffling the data. High level code was ok, didn't have to be completely detailed. Another coding test was finding maximum depth of a binary tree.
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