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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."
8,210 machine learning interview questions shared by candidates
What is regularization?
Explain how you calculate back propagation in neural networks
Relevant experience regarding the role, theories behind ML models, and some behavioural questions.
The level of coding questions in the coding round was on the tougher side. There were two questions on graph of which one was a modification of finding the diameter of the graph. The technical round was on the easy to moderate side. There were three questions on data structures and algorithms and one SQL query to find the second highest employee salary from an employees table. One question was a variation of peak finding. Another one was a variation of Kadane's algorithm and last one was an open ended question on reading data from a file and finding frequency of elements. This led to the discussion on hash maps and collisions and multiple prevention strategies. There was a hiring manager round where I was tested on CS fundamentals and some behavioural questions. I was asked to explain the entire journey of a HTTP request and the OSI network model. There was a discussion on paging and memory management. I was also asked to explain types of polymorphism.
Desired salary range, notice period.
They asked me to describe my project as if I were talking with someone with no background on ML
They have given database schema of twitter like application and ask 3 question that use multiple concept at time
Questions were specific to the job description
Multi Linear Regression intuition from scratch
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