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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."
8,208 machine learning interview questions shared by candidates
Design a recommendation engine for one of their top used app features.
Height of a tree where each node can have odd number of children only
Things like "describe self-attention mechanism", "how do RNNs differ vs. transformers", "how do you use propensity scores in AB tests"
Given a string check if brackets are balanced "(())(()(()" --> no, "()(())()" --> yes Implement the power (**) operator.
In the actual interview; the first question is the closest common parents of two nodes in a binary tree given the parent node as a pointer in the node itself. And the second was the known file system path parsing problem. Both of these are leetcode
What the minimum number to add parentheses to make a string balanced.
Coding questions were medium leetcode questions and can be done with some prep. system design and ml system wasn't too hard. I couldn't do senior level on ml system design. it's more complicated than educative examples.
Do you have any questions about the team?
1. Range sum for BST 2. Balance parenthesis.
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