Deep learning questions on image recognition. How to use the simplest way make an achievement. The employees are very friendly, and the questions are helpful. The results took pretty long to to get back to me
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."
8,208 machine learning interview questions shared by candidates
Some questions to test your understanding of ML applications and approaches
technical interview, which is nothing more than a rather long talk (90 min) in which you are asked about very basic concepts of data science, machine learning, software development, and some big data. It's quite easy, really.
What are configuration files in AWS SageMaker?
What is the difference between the regression and clastering?
Describe your biggest project. How to deal with noise in data (NLP).
Do you have the experience in reinforcement learning?
Implement some of classic Machine Learning algorithms
Not hard questions, but the majority was "Tell me a time that you had...". My background examples and dive deeper. The technical case study was about designing the ranking system on the cashback offers, that I was asked to assume 0 background knowledge. Interviewers seemed knowledgable and very polite.
What is Transformers and explain the attention mechanism
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