How would you design a system to: - schedule jobs - retry with exponential backoff No context or use case was given. Minimal help from the interviewer.
Machine Learning Consultant Interview Questions
8,198 machine learning consultant interview questions shared by candidates
Details on Lemmatization and Stemming
1. Explain the bias-variance tradeoff 2. What is k-fold cross validation and why is it important? 3. How would you deal with class imbalance?
Der Loss konvergiert nicht, wie würden Sie dieses Problem beheben?
Neural network types, differentiation, basic statistics, MLE, discriminative vs generative models, graphical models
1. HR interview 2. 1st round interview: 30 mins, basic ML question 3. 2st round onsite: 5-6 hrs take home project, 2hr presentation. The hardest part would be onsite, many challenging questions. You have to find the best solution for the company. take home project is time-comsuming
What are some regression metrics you are familiar with?
They just ask where you want to go, the languages you are familiar with. More technical questions on the skills interview, just trying to know how knowledgeable you are on ML techniques.
Basic questions from 5 domains 1) Machine Learning 2 ) SQL 3)Scripting 4)Web Scraping 5)Deep Learning
Tell me about yourself and why should we hire you.
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