Questions: Confusion Matrix Random Forest ARIMA Model Ensemble Techniques Data Structures
Ml Engineer Interview Questions
2,751 ml engineer interview questions shared by candidates
combination of behavioural questions and technical ones, getting an idea of broad experience with different ML models, learning more about my research. Questions on Experience with optimisation tools, deep learning.
questions were about ML and NLP tokenization, confusion matrix, and basic some basic concepts
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To give an example in each interview: 1. Given some data, write code to remove rows based on some criteria using pandas. 2. Why GSK? 3. What is the difference between multi-processing and multi-threading? 4. Write a function to compute the median using built-in functions only. What is the complexity of using the "sorted" Python function?
Motivations for working there, my background, a coding/coderpad question, an ML case study
3-5 python codes, project, Ml algorithms, Gen AI, Deep learning.
Beispiel pipeline ML OPS Aufgabe
review of experiences + interesting case study on how to deal with a real-world data science problem + engineering discussion positive experience overall
give an example of some hardship in your research and how did you resolve it?
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