How do you solve overfitting?
Software Engineer Machine Learning Interview Questions
8,195 software engineer machine learning interview questions shared by candidates
Questions were from the 75 questions that everyone keeps mentioning on leetcode
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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