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System Design

3 years ago

Design a system for managing a distributed message broker.

Machine Learning Engineer

AppDynamics

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3 years ago

ML Knowledge

3 years ago

In which part of a neural network does the vanishing gradient tend to be a bigger issue: the initial layers or the ones at the end?

Machine Learning Engineer

AppDynamics

Peek

Rivian

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3 years ago

ML Knowledge

3 years ago

Have you faced any challenges in detecting anomalies and how did you overcome them?

Machine Learning Engineer

AppDynamics

Microsoft

Qualcomm

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3 years ago

ML Knowledge

3 years ago

What does batch normalization aim to achieve, and how does dropout function in model training?

Machine Learning Engineer

AppDynamics

Verizon

Citrix

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3 years ago

ML Knowledge

3 years ago

In your experience, what are the challenges associated with the training of deep neural networks with several layers?

Machine Learning Engineer

AppDynamics

Airbnb

HelloFresh

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3 years ago

ML Knowledge

3 years ago

Can you elaborate on the discrepancies between SVM and Random Forest?

Machine Learning Engineer

AppDynamics

Boeing

Thumbtack

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3 years ago

ML Knowledge

4 years ago

Can you explain the functional differences between CNNs and RNNs?

Machine Learning Engineer

AppDynamics

Expedia

Samsara

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4 years ago

ML Knowledge

4 years ago

Can you explain your thought process for determining the appropriate value for "k" when implementing the K-means algorithm?

Machine Learning Engineer

AppDynamics

Canva

trivago

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4 years ago

ML Knowledge

4 years ago

What distinguishes the convergence of stochastic gradient descent from that of gradient descent?

Machine Learning Engineer

AppDynamics

Squarespace

Verizon

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4 years ago

ML Knowledge

4 years ago

How do you manage the challenge of skewed data when evaluating the effectiveness of a model, and which metrics do you rely on?

Machine Learning EngineerData Scientist

AppDynamics

SeatGeek

Chime

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4 years ago

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

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