How could you unit test a python program that contains stochastic elements?
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,198 machine learning 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?
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?
Your experience with data modelling?
Mostly system design and "culture fit" questions.
Talk about past relevant experience
They asked me how i would create a custom tokenizer for law data
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