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
Tell me about a challenge or conflict you've faced at work, and how you dealt with it.
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?
Have you ever had a manager you did not get along with? What was the issue? How did you overcome it?
If I have any forklift experience
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).
Viewing 1731 - 1740 interview questions