Design pricing system, show where to put ml model, data, validation, online service for generating prices
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."
8,221 machine learning interview questions shared by candidates
1. Previous company's small case study was shared with me as a case study and I was asked to describe approaches I would take (from engineering and ML viewpoints) to tackle this problem in high-level? 2. This was followed by a series of questions about the ML models, deep learning, deployments, MLOps, and ML in production.
Asked me about KNN elasticSearch queries, and to write a small REST API.
How many ways are there to arrange X undistinguishable balls between N boxes? (and follow-up combinatorics questions) NLP classification task for the pair programming call
I was offered a promo code for LinkTree Pro instead of interview feedback after interviewing for 5 rounds of interviews. The interviewers are nice, but the interview processes has a lot of problems i.e. - The Data Engineering round interview has very similar pandas based question as the coding test. I was provided Python script instead of Notebook, which makes the interview hard to iterate with data. (I was provided notebook for a previous DS round). Also no autocompletion/type hint is available. - The coding test have questions that has wrong description, when I reported that to Recruiter again I do not receive any feedback. - The ML system design round was in fact, more like a system design round with little focus on the ML part. - HR repeatedly schedule interviews for wrong time (i.e. midnight) because they have interviewers in UK, Australia and US and I was often provided with different information from different Recruiter. - LinkTree Pro? Really?
Wie sind sie auf uns aufmerksam geworden?
They asked scenario-based questions. e.g in this scenario which ML algorithm should you apply
What is machine learning? what is normalization?
1. what is difference between Numpy and Pandas?
Basic tech stack question from my resume about certain tools.
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