How does K-means algorithm work
Learning Engineer Interview Questions
6,585 learning engineer interview questions shared by candidates
Given certain scenarios, they wanted to see how one would design a solution.
classification NLP home-task: classify user intents based on chat messages in banking app. Then, technical interview with accent on metrics, how this solution could be applied in real system and how communicate results to products.
Describe a time when you disagreed with a stakeholder.
Take us through a project you've worked on.
Phone: Decode string, e.g. input “3[a2[c]]” output “accaccacc” What if the string is a stream that is not able to fit into the memory? Onsite: LRU Cache Implement KNN, bias variance tradeoff, why curse of dimensionality, discussion of convergence of sgd (or gd), why cross validation Min height tree
What is the difference between a batch model and a streaming model?
Auto regression
What is the difference between supervised and unsupervised learning?
RMS values and similarity of cosine, convolution.
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