Binary Tree insertion and read
Machine Learning Research Interview Questions
1,879 machine learning research interview questions shared by candidates
If you mentioned a tool or algorithm you used, you'd immediately get questioned about it. If you provide a response, they'd continue interrogating even if it isn't relevant to the position.
explain SVM and why is it called as large margin classifier.
Tell me about the latest research papers you have read. What were some highlights from the paper. Positives, negatives etc. Limitations in real world conditions?
1. given a list, create another list of same size, where for each word provide a true/false if that word can be formed using other words in the list. And then back to back questions on Big Data- hdfs, presto, parque file, spark, mongodb 2. Behavioral questions, how to resolve conflicts, working with several teams 3. given a string "a<b" , solve it. design an interface for something 4. given the ATCG kinda sequence and a tree, find if the sequence can be validated with the tree. Follow up question- what if the size of the sequence is way too long (as in TB) 5 Questions around logistic regression, linear regression, metrics, which metrics to use, how to start a new ml project in prod 6 questions around image processing and ml- what is activation unit, relu, bias, variance, overfitting, gradient descent, learning rate
What is a neural network?
it was good and learnt a lot
Resume, project, coding, behavior questions
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ML use cases and the behavioural interview.
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