About experience and interest in the role.
Machine Learning Developer Interview Questions
8,213 machine learning developer interview questions shared by candidates
Lots of questions around fraud detection.
What's AB testing and how would you use it?
ML system design and Explanation of 1 recent project
Behavioral question: I was asked to describe how I organize my work.
1. Computer Science questions - sorting, searching, data structure, binary tree. Actual code writing and walkthrough. How to optimize. Big O notations. Efficiency is always a key component here. 2. Machine learning and deep learning questions. Everything from supervised to unsupervised learning. What are the linear classifiers? Explain how CNN works, random forest, recurrent neural network. Clustering. Nearest neighbors. I think we gone through all the topics in machine learning. 3. System design. How to search efficiently. Explain previous experience or projects implemented etc.
What are loss functions (this was the easiest one , there more challenge question on project)
Gave a typical case of fraud detection and asked how to tackle this problem. Another use case for loan default cases.
If a quickserve company wants to increase the price and maximize profits, what broad steps will you do(ml based) ?
Qual'e' la matematica dietro all'algoritmo Support Vector Machines. Qual'e' la differenza tra una goroutine di golang e un thread di java(per una posizione di ML engineering??). Descrivimi l'architettura del Transformer e di come ha cambiato il campo del NLP.
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