It was on 3D gaussian spatting and it's working.
Machine Learning Engineer Intern Interview Questions
8,210 machine learning engineer intern interview questions shared by candidates
The Coding problems were 1 LC easy and 2 LC medium problems.
implement k-means with native python
classification NLP home-task: classify user intents based on chat messages in banking app. Then, technical interview with accent on metrics, how this solution could be applied in real system and how communicate results to products.
explain the working of neural networking and back propagation
What do you know about Ather Energy ? Any questions about the job or company ?
Klassiker wie "wie würden Ihre Freunde sie beschreiben" und ähnliches als Grundlage. Ging dann sehr stark auf die Antworten ein und wollte immer konkrete, detaillierte Beispiele.
LC easy + medium
how is XG boost different from Gradient boosting algorithm?
Tree traversal and SQL Questions
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