Purely coding interview to develop algorithm.
Machine Learning Engineer Interview Questions
6,160 machine learning engineer interview questions shared by candidates
Explain the bias-variance tradeoff in machine learning.
How to detect power plant on/off via satellite images.
CNN Neural Network, got sent some images to classify
This was followed by a timed 3 hour coding assignment which will be sent 10 min before. So the context is unknown up till that point. Q 1-3 : typical leet code style questions to be done on hacker rank Q-4 : using a pretrained model write functions to predict labels and their probabilities. Through transfer learning change the VGG architecture for a 10 class classification problem. write code for other metrics used for evaluation. Q5: Develop a machine learning algorithm which should include data processing, covariance matrix, specifying training testing sets, evaluation and visualizing metrics Q6) using some python library to do data analysis which was specific to their routine work I guess. I would leave it up to the readers to decide if all this is possible within 3 hours or not.
I was asked to do a sample project
Go through projects and coding task.
What is machine learning?
(Phone Round 2 - Technical) Write an algorithm to say if two strings are anagrams of each other?
What role does the test set play and what role does the validation set play when we are building a model?
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