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Learning Engineer Interview Questions
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a depth first search based coding question
One of the second interview questions I got involved parsing through two dictionaries and adding each key, value pair to a third dictionary if it met some criteria. Unfortunately, I don't remember anything more specific than this.
none of the questions were technical, the interviewers were just totally disinterested in my profile, all their questions were pointless like they had not bothered to read my CV/resume.
How do you give and encourage feedback?
Explain self-attention? How is it different from attention? How is used in transformers? Some questions about Inverted dropout. How can one make sure that a certain number of parameters in a Deep Network are trained?
What is Optimisation in Deep Learning
What are the pros and cons of LR, SVM, and random forests? How do you choose them?
Fundamental of ML, algorithm design, and programming questions
Why might one use a support verctor-based algorithm instead of deep learning
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