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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."
8,203 machine learning interview questions shared by candidates
Describe your projects and explain how you go about solving problems
Phase 2: 1) You talk about your previous ML project and the interviewer asks you accompanying questions: e.g. what is mAP, difference between model pruning and quantization, etc.
Coding test was based on data structures and I would recommend to practise before attempting the test.
have multiple rounds of interviews, while others may combine different stages or use alternative methods like assessment centers.
Given dataset and a pretrain model, do fine-tunning and show results.
List, tuple , slicing and loop problems
what is gain? what is the difference between CNN and RNN
Presentation part of the third interview involved technical questions about past projects. Focus was given on the in-depth knowledge of the methodologies and approaches.
Explain one ML algorithm with as much as techinical details possible
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