Projects, ML basics, Skill set and tools
Machine Learning Interview Questions
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
Viewing 6831 - 6840 interview questions
See Interview Questions for Similar Jobs
Machine Learning Software EngineerIntern Data ScientistMachine Learning Research ScientistData Science Summer InternSoftware Engineer Natural Language ProcessingRobotics Software EngineerMachine Learning ScientistMachine Learning EngineerMachine Learning Research EngineerData Science Software EngineerResearch Scientist Computer VisionJunior Data ScientistSoftware Engineer Machine LearningSenior Data ScientistData Scientist InternMachine Learning ResearchData ScienceBioinformatics Software Engineer