Given a dataset describing customer claims (some are known to be fraudulent, the rest are not), How would you approach the problem of building a model to identify which future claims are likely fraudulent?
Machine Learning Developer Interview Questions
348 machine learning developer interview questions shared by candidates
Find bugs in a multi-threaded C code.
create big data serving APIs as per requriments.
I can not disclose the questions because of NDA
LC 199, 346, 680, 987
Design harmfull advertisements detection system
Cannot go into details but: Coding: Standard Medium Questions LeetCode Style System Design: Not expected question but interesting level of details ML Design: Standard ML Design question Behavioral: Very standard fair behavioral interview questions
Technical questions are in 3 types. (2 rounds) Coding are mostly Leetcode tag questions. Need to solve 2 questions (medium - hard) in 45 mins per round. 1 round of system design (normal question in grokking system design interview). 1 round of ML system design. There was one round of behavior questions.
What is the time complexity of this solution? What is the space complexity?
Finding the output dimension of a convolution process, given the input size, kernel size, and stride.
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