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ML Knowledge
a year ago
Could you elaborate on the differences between L1 and L2 regularization techniques for regression analysis, and when using one over the other is justified?
Machine Learning Engineer

Fitbit

NetEase

Slack

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a year ago
StatisticsML Knowledge
a year ago
What are false positives and false negatives in statistical hypothesis testing, and why do they matter in research?
Machine Learning Engineer

Fitbit

Snowflake Logo

Snowflake

Sendbird Logo

Sendbird

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a year ago
System Design
a year ago
What are the key considerations when designing a low-overhead tracing mechanism for complex distributed systems?
Machine Learning Engineer

Fitbit

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a year ago
Coding
a year ago
Can you describe a procedure for appending two sorted arrays into one sorted array?
Machine Learning Engineer

Fitbit

AT&T Logo

AT&T

Glovo Logo

Glovo

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a year ago
System Design
a year ago
Create a system for processing live customer feedback in real-time.
Machine Learning Engineer

Fitbit

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a year ago
ML CaseML Knowledge
a year ago
How reliable is the R-square statistic as a standalone measure for the quality of a linear regression model? Does a low R-square value invariably indicate an inadequate model fit in linear regression?
Machine Learning Engineer

Fitbit

ThoughtWorks Logo

ThoughtWorks

Amazon Logo

Amazon

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a year ago
System Design
a year ago
Design a real-time chat application.
Machine Learning Engineer

Fitbit

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a year ago
System Design
a year ago
Create a system to manage secrets across distributed services.
Machine Learning Engineer

Fitbit

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a year ago
Coding
a year ago
What's your strategy for coding a fair six-sided die roll using a continuous distribution, and how would you test it?
Machine Learning EngineerData Scientist

Fitbit

Tableau Logo

Tableau

Nubank Logo

Nubank

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a year ago
System Design
2 years ago
Create a workflow management system for distributed architectures.
Machine Learning Engineer

Fitbit

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2 years ago

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

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