like talk about some adaptive learning rate methods
Machine Learning Consultant Interview Questions
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Design a recommender system. Machine learning questions: decision trees, AUC, etc.
Sum of subarrays
Given a sorted list of numbers and a function f: x -> ax^2 + bx + c, apply f to all elements and return a sorted list of the f(xi)'s Explain some ML concepts: - Overfitting / Underfitting - Regularization - Bagging / Boosting - Performance metrics
past projects, leetcode hard, statistics, ML.
What programming languages do i know
"Which image completes the pattern" type questions
Examples of complicated situations that I have solved
What was your experience with AI security?
Can you tell us about your work experience?
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