- live coding: write a python script to parse a log file, strip, splitting on string. Use of dictionary to aggregate data. Writing a automated test for the aforementioned code - lead software questions: "Why do you like python?", "Talk me about your projects", "What experience you have with CI?", etc...
- live coding: write a python script to parse a log file, strip, splitting on string. Use of dictionary to aggregate data. Writing a automated test for the aforementioned code - lead software questions: "Why do you like python?", "Talk me about your projects", "What experience you have with CI?", etc...
General ML and DL questions.
They asked me to pick an ML model and asked detailed questions about it
3) How do you handle missing data (scenario W.R.Y cancer data)
2) What is Vanishing Gradient and how it works?
CNN - final size of an image after passing through a 3x3 filter without padding Activation function Loss function Gradient descent Decision Tree and Random Forest
how would your coworkers describe you
What is bagging, how it is connected to random forests?
What are your previous work experiences
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