discussion of semantic segmentation, describe Mask RCNNs/YOLO algorithms, cross entropy, graph/DFS type problems, design an optimizer for any cost function f
Learning Engineer Interview Questions
6,591 learning engineer interview questions shared by candidates
It was a long test with very less time for answering the questions. Answers should be right on top your head. One of the Speed Coding question was to find the minimum amount of power that Gandalf should carry so that when he fights with many minions and reaches the boss, he should at least have power = 1.
take home data science homework is free form, you are given a pipeline with a bunch of classifiers that'll predict whether a user is retained or not based on swiping activity, you're told to add whatever you want to the pipeline to showcase your skills the tools are the traditional sklearn/numpy/matplotlib etc and the algos involved are regression/xbgoost/other voting algos
You need to train one model to detect two classes A & B but 50% of the training dataset was labelled only with class A and 50% only with class B. How do you train this model?
How do you implement feature selection in text classification?
Are you okay being paid below the market salary for Machine Learning Engineer role?
Why did you choose Cohere Health?
During system design interview I was asked to implement LRU cache
Describe how to build a system to communicate with a newly acquired bank.
1. What experience do I have with machine learning? 2. What projects did I do in the past? 3. Any experience with IoT data? 4. Have I worked in Agile and Scrum environments? 5. Did I have a position as a software engineer?
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