Q1 Explain Regularization and Optimization in deep learning. Q2 Asked about RASA as mentioned in my resume.
Machine Learning Interview Questions
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What's your favorite algorithm?
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
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