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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."
8,212 machine learning interview questions shared by candidates
Describe some of the machine learning techniques you used at a specific previous job.
recommendation system relevant question based on my project
They asked behavioral questions mostly. For example, they asked: How do you learn?
Why did I start learning ML? What I have studied in ML so far? What projects have I worked on and a few basic Python questions
What is the difference between supervised and unsupervised
The questions were very much centred around my experience. They asked questions about my time doing a PhD and also what I was doing at my most recent position as an MLE. They wanted to know what kinds of problems I'd encountered and wanted to understand my approach to reaching a solution.
what is the difference between KNN and Kmeans
What is TF-IDF
Details on the project I have worked upon and currently working
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