like talk about some adaptive learning rate methods
Machine 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.
How did your previous work experience relate to the current job your applying to?
what's your most interested subject
What stresses you on the job
What programming languages do i know
"Which image completes the pattern" type questions
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