What's your favorite algorithm?
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."
8,203 machine learning interview questions shared by candidates
Code review on 50 lines of python code
Pagination with Pivoting: You will be given a list of items, and the aim is to implement pagination around a pivot element. It should be circular.
Second Interview Question: Given a 2D binary matrix, write a solution to make the image symmetric along the X and Y axes. The only operations allowed are full row and full column insertions without modifying the values in the original matrix. The goal is to find the minimum number of row and column insertions.
Questions will be based on the take-home technical assessment.
The programming test was written: three exercises.
Resume, Spring, ML, Data Science, Python and Behavioural
A couple interview Qs I can remember are: What is the bias-variance tradeoff? What's a GBM and an example of one? What is under fitting and over fitting?
Sparse metric Multiplication, cosine Similarity
Which would run faster, a RNN with LSTM or Attention (he meant Attention based Model such as Transformers but didn't clarify).
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