What is the difference between standard deviation of a sample and standard error of the population mean?
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."
8,208 machine learning interview questions shared by candidates
Provide an end to end overview of a ML project that you have worked on.
I was asked about specific experiences listed on my resume.
Design chat system assuming we have previous data.
Describe a recent research paper you found interesting.
1. Tell me about yourself 2. Explain project done in machine learning domain if any 3. One easy level coding question that was based on string matching and manipulation
Introduce yourself. Talk about your last internship. Discuss your graduation project. A question about using the one hot encoder with the decision tree algorithm.
2 algorithmic interviews and 2 ML interviews. For algorithmic, both were easy to medium leetcode-style questions. For ML, one was about basics of ML, statistics, data analysis and the other was little more specific topic like NLP.
The questions were mostly based on the workings of various ML frameworks including their own so some specific knowledge was required.
What is the definition and application of stack, heap, etc.
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