four types of matrix multiplication difference between linear transformation and matrix multiplication why minimize cross entropy and not square of error why iterative gradient decent and not closed form solutions for neural networks why ensemble solutions are robust what are auto regressive processes why solution of linear program is on edges how to optimize a function that is not analytical how tensor-flow compute gradients efficiently
Machine learning, data science and behavioural questions, in general. I also received web-related questions, such as what happens when you type in an URL into the browser and hit Enter? Or what is REST about?
1) Measurement Criteria of classification problem 2) how to build innovative data product using twitter and wiki 3) How to approach a problem to convert data science problem 4) How long will you be in the company
in-depth technical questions about ML
System design questions (e.g. how would you design a particular data pipeline)
Your stats, problem solving skills etc will be checked
How to measure performance of Linear Regression model?
Machine Learning, Gen AI and basic Python questions
Tell me about your self, write lambda expression for Fibonacci series . Print the first repeating letters.
What did you like about this role?
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