How to model each user in the system?
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."
8,212 machine learning interview questions shared by candidates
describe a learning-based technique and a model for predicting recommendations.
Basic reasoning and logical questions
The questions ranged from basic topics like bias vs. variance trade-offs to advanced topics like LLMs and self-supervised learning. Usually, they will give you a hypothetical scenario and ask you to solve the problem using ML. Based on your answer, you are asked subsequent questions.
First round was a non-technical but complete assessment of behavioural scenarios, including a few questions on the candidate's long-term professional ambitions, as well as inquisitions on your general knowledge on AI as well as on the company itself. Second round was a technical and knowledge-based interview on many scientific concepts, testing the candidates on both their understanding of classical ML algorithms as well as their knowledge on more recent developments. Your problem solving approach may also be tested through a live-coding challenge. Final round was a technical homework assignment to be completed in a week, and later presented to the team, followed by a Q&A to understand your approach and decisions.
Questions regarding ambitions and goals. Technical questions involved a good knowledge of machine learning tools, particularly neural nets and dataset representations
After the test, I feel like it seems like two easy level leetcode problems. But with camera and mic on, I was kind of nervous in the first place. The description of the problem is long, but can be concluded into very short sentence. Finish both but only one get to run correctly, the first one cost me some time.
Binary search, recursion, linear regression, recommendation system
Linear Algebra Time and memory complexity of neuro-network
Tell me about deep learning
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