Given salaries of people from ten professions and salary of a new people. Design an algorithm to predict the profession of this new people.
Learning Engineer Interview Questions
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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?
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.
Describe a project you undertook and take us step by step.
How would your colleagues describe you?
What is the difference between a learning developer and learning specialist?
Your experience with data modelling?
Mostly system design and "culture fit" questions.
Talk about past relevant experience
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