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Machine Learning Interview Questions

"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."

8,212 machine learning interview questions shared by candidates

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
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Machine Learning Infrastructure Engineer

Interviewed at 23andMe

3★
Nov 9, 2019

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

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