1) Explain Decision trees, how how would a tree split numerical data.
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
Tell me about yourself. Which algorithm did you work on your project? Have you chosen another algorithm to do it? and what was that?
Machine learning algorithms. Difference between bias and variance. How do you train a model from the start.
What is LSTM and GRU
Describe your favourite ML algorithm. I described SVM's operating principle.
4) What is loss function and activation function? explain this W.R.T back propagation in NN
What is your favorite machine learning method? Describe it to me and explain why you like it?
Asked some basic Python questions about syntax and generators. Take-home assessment was about 5 hours long and consisted of a supervised ML problem. Incorporated skills that they looked for in an ML SWE.
Run of the mill interview.
basic ML and DL, SGD, ML vs DL
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