Mathematical explanation of learning rate. How to deal with imbalance classes.
Data Sciences Interview Questions
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Questions about my previous work in my CV
Obtain the first occurrence of grouping by certain condition
What is overfitting/ bias variance tradeoff/ regularization/ classification vs regression I'd love to know if there's anything one can do to get matched with better interviewers?
Residual in Resnets, Regularization, metrics for different tasks
Science breadth: Heavily focused on the fundamentals of linear regression - derive solution, uncertainty modeling, Bayesian linear regression, what can go wrong when training deep neural networks, supervised/unsupervised/reinforcement learning differences. Science depth: focused on learning to rank
Describe how you would design a NLU system under various constraints.
ML Theory, Statistics, Dataset Analysis
What type of architecture is used in super resolution DNN What is is attention model
Explain REST api
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