k-means vs knn, naive bayes, GANs, basics about NLP, ...
Machine Learning Engineer Interview Questions
6,166 machine learning engineer interview questions shared by candidates
Happy number question (well known question, google it), and implementation in an unfamiliar language.
Get-to-know: How do you work in a group? Describe a project ML: Describe various ML algorithms from classical ones to recent ones like Transformers.
The Coding problems were 1 LC easy and 2 LC medium problems.
Tell us about yourself and your experience?
What is your motivation to apply for this job position?
Mainly about the position itself
implement k-means with native python
For the programming challenge, I was asked to train an NLP model to predict the product in a customer complaint. The submission was expected to be production-level code (as much as one can do within one week).
How does K-means algorithm work
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