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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
The expectation was to build an engine for the project during the interview itself
What career goals do you have for the next five years?
What are the projects your are involved in ? Can you work with python , Jupyter and other related software? Tell me what do you know about CNN networks What are the filtered used in CNN
Technical question about Python and Machine Learning
2 turns of interviews: 1. Asking about general questions and basic understanding of ML, theortical and pratical level. 2. Technical questions about CNN and Numpy, such as understanding of CNN layers, how to handle some transformation using Numpy
The questions mainly tested the candidate's grasp of knowledge for basic concepts in: biology, chemistry, biochemistry, statistical thinking, and machine learning. I was asked to talk through relevant experiences and to describe certain machine learning models that I had previously worked with.
What is machine learning/ ML?
Q: Describe what are train, eval, test dataset.
Q: If eval dataset exists, why would we need test dataset?
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