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

Questions about academic/professional path, salary expectations, etc. "Explain the bias variance trade-off" "What's the difference between L1 and L2 regularisation" "Explain gradient decent (GD). Why do we use Stochastic gradient decent (SGD) instead of GD. Mention some other variants of optimisers." "Describe a ML system. What are the different components that go into it?" "Suppose you are asked to deploy a model as a micro-service. What are the various components you need to think about when designing the service. Give a generic explanation for each component and one particular instantiation using one or more technology." "What are Directed Acyclic Graphs (DAG)?" "What should be a leader?" "What are your strengths and your weaknesses?" "What motivates you to wake up everyday?"
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Machine Learning Engineer

Interviewed at Teya

3.4
Aug 16, 2022

Questions about academic/professional path, salary expectations, etc. "Explain the bias variance trade-off" "What's the difference between L1 and L2 regularisation" "Explain gradient decent (GD). Why do we use Stochastic gradient decent (SGD) instead of GD. Mention some other variants of optimisers." "Describe a ML system. What are the different components that go into it?" "Suppose you are asked to deploy a model as a micro-service. What are the various components you need to think about when designing the service. Give a generic explanation for each component and one particular instantiation using one or more technology." "What are Directed Acyclic Graphs (DAG)?" "What should be a leader?" "What are your strengths and your weaknesses?" "What motivates you to wake up everyday?"

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