you are supposed to answer 10 questions with one minute time given for each. I had 2 -3 questions on concepts of machine learning and rest of them were from concepts of computer science. Things like tuple, duck typing, generator , xrange etc. After that you will have to finish a small machine learning project in your choice of language. Interview process is pretty thorough.
Machine Learning Interviews
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."
8,202 machine learning interview questions shared by candidates
2 technical questions: one machine learning classification problem and one coding question on how to check for a valid BST.
What is the difference between XGBoost and GBDT
Several coding questions across all interviews.
Questions about projects listed on my resume.
What would the classes and methods for a "Hit Point Management" system look like, that has the following functions - increment(user, value), decrement(user, value), getHitPoints(user) and killAll()? The first two methods add/subtract the user's hit points by the amount in value. getHitPoints() returns a user's hit points and killAll() sets all users' hit points to 0. What are the run times of the methods? How can you make all the methods run in O(1)? Note: If we set the hit points data structure to null, or re-initialized it to a new structure, the garbage collector still has to do the work of going through all the users.
Q. How do fasttext embeddings work?
They gave me a machine learning algorithim and asked me how would I derive loss function and why.
What is activation function, and what activation function is used a output layer?
How to use a bayesian framework for a ranking system. SQL queries. Read and explain some code from their codebase.
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