Basic ML stuff, nothing special. The process also involves working out an assignment. I'd recommend really to consider whether you want to invest time in it because in the end you risk being left even without a simple response wrapping up the whole interaction.
How do you solve overfitting?
Describe a time where you had to be resourceful to achieve a project outcome.
- 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.
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
Pseudo code for email validation
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