3 questions. After finishing the coding, you have to explain the method you used and how to improve it if you have more time.
Ai Developer Technology Engineer Interview Questions
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Resume based questions Explain the AI/ML project
1. Explain your past projects. 2. Random forest 3. Gredient Descents
Tell me about your past experiences
What is the KNN algorithm?
Describe a project I worked on that involved machine learning application.
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.
Estimate how many Teslas are in the US If you have a database with location information of brick and mortar bank locations (latitude and longitude), devise an algorithm to efficiently find the closest bank to a person's home address (assume you have a means to convert home address to lat Lon)
Perform exploratory data analysis on given data set, identify by outliers, handle outliers and plot them
Coding dsa python coding is asked
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