3 questions. After finishing the coding, you have to explain the method you used and how to improve it if you have more time.
Ml Engineer Interview Questions
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1. Difference between KNN and Kmeans algorithm.
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1. Machine Learning Case Study: given a prompt, talk through how to formulate a ML problem, staring from what data to use, how to clean those data, preprocessing, ML modeling, validation and evaluation 2. General ML question in details: mathematical derivatives, algorithms comparisons, what methods to use for XXX data or problem, etc 3. Behavior questions: why chase, what to do if meet some stakeholders that does not understand ML , etc.
What is the KNN algorithm?
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