Q. Explain Word2Vec, CBOW and Skipgram
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."
8,210 machine learning interview questions shared by candidates
Define precision and recall confusion matrix
To describe past experiences regarding their core values and some technical questions
Walk me through your resume.
What is your favorite product?
Name what these terminal commands do: df, du, htop, nvidia-smi and etc.
Asked about different types of ML algorithms and when they would be applicable.
Introduce yourself - Explain about project
What are activation functions for? compare them and explain when each of them can/should be used? How does quantization work and why is that used? How do you implement it in Pytorch, etc. How do you define a customized layer in pytorch using C/C++?
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