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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
Implement a feature into their codebase
Explain enumeration on 2D array.
How to iterate a for loop within a data dictionary?
Como faria para implementar um modelo para validação de empréstimo.
Was asked a few questions on language and concept that are not relevant to the position I applied.
What are the algorithms you used? Which metrics you used to measure models' performance and why?
Interview with Manager / Head of department: - My background and past projects Codility Test: - If you do Codility samples, you will be good to go! Technical Interview: - System Design - Load balancing of requests - REST API design - A small coding exercise (took 10 minutes) Bar Raiser: - Very similar to Technical Interview except that I was expected to behave in a more mature (business like way) - Why do I want to join Delivery Hero
Describe advantages and disadvantages of the XGBoost algorithm
In the bar raiser, I was asked questions about Python internals and in the coding round, I was asked a question about Git which was different from other interviews.
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