Adobe Machine Learning Engineer interview questions.

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  • 53 Adobe Machine Learning Engineer questions
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ML Knowledge
How do RNNs and LSTMs vary when it comes to long-term dependency modeling?

8 months ago

ML Knowledge
A Model's AUC can play a crucial role in evaluating its performance. Would you know how to calculate the AUC of a model?

a year ago

Coding
How would you construct a solution to find the longest palindrome within a provided string?

a year ago

ML Knowledge
In terms of linear regression, what is the significance of considering error assumptions, and what does it entail?

a year ago

ML Knowledge
Could you expound on the DMatrix functionality in XGBoost and its distinction from other gradient boosting data structures?

a year ago

ML Knowledge
Can you explain the consequences of overfitting and underfitting in real-world situations? Could you provide some examples that demonstrate when either of these might happen?

a year ago

ML Knowledge
What approaches do you take to address skewed data in model evaluation, and which metrics do you find most useful?

2 years ago

ML System Design
What would an ideal architecture for Bing image search look like in your opinion?

2 years ago

Coding
Would you be able to write code for inverting a binary tree in the programming language you prefer?

2 years ago

Coding
What would be your approach to writing a Python script that implements a hash table?

2 years ago

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*All interview questions are submitted by recent Adobe Machine Learning Engineer candidates, labelled and categorized by Prepfully, and then published after being verified by Machine Learning Engineers at Adobe.