technical phone interviewer who was senior data scientist, who asked me write a program for which he has given certain contraints, It took me sometime to complete the given task. Then he moved on to asking me questions machine learning algorithms like randomForest and the algorithms i used in my project.
Coding to find medium in a list of number.
Implement Naive Bayes theorem in Java.
like talk about some adaptive learning rate methods
Why do you apply for LinkedIn?
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.
First one final round interview was more conceptual and behavioral (stuff on resume) and second was a med? level Leetcode question followed by behavioral
Given a random generator that uniformly gives a value from 0 to 1. Create a function that can generate any integer value from range i to j uniformly.
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