Popular ML components like LSTMs, Transformers, CNN etc. Building ML models in the context of speech recognition/NLP and advantages or shortcomings of each approach. These have to all be addressed while building an ML pipeline. Know your own projects in detail and why certain models were used vs. others
Why I liked Will Ferrell because my answer to your favorite movie was anything by him. Obviously the answer didn't matter that much because it did not have a whole lot of relevance to the job (Dish Machine Operator)
Why do you want to work here?
Typical questions about your background
Got hired on spot for the job and now I’m in a position where I’m just gonna have a actually have other career opportunities
Why did you apply for the company?
Two coding tests on HireEve and one behavioral question.
Two medium level coding questions. One problem is finding the shortest path out of the maze, I forgot the other one.
Given a case find the solution
1) How do you think data science is different from traditional statistics? 2) Can you tell me about a time when you had to work with someone who is very difficult to work with?
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