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ML Knowledge
8 months ago
In decision trees, what's the significance of bias and variance? Furthermore, which one presents a bigger issue - high bias or high variance - and what's the justification for that?
Machine Learning Engineer

LinkedIn

Electronic Arts

Cohesity

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8 months ago
ML Knowledge
9 months ago
How does gradient boost work in the field of machine learning?
Machine Learning Engineer

LinkedIn

Pluralsight

Elastic

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9 months ago
ML Knowledge
9 months ago
Could you elaborate on the various sampling techniques used in research?
Machine Learning Engineer

LinkedIn

ZocDoc Logo

ZocDoc

Virta Logo

Virta

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9 months ago
ML System DesignProduct Case
9 months ago
Could you discuss your approach to dealing with negation in conversational bot design?
Machine Learning Engineer

LinkedIn

Snap Logo

Snap

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9 months ago
ML System DesignML CaseProduct Case
9 months ago
Please describe your proposed approach to creating a system that detects anomalies in a user's server data and sends alerts to get the user's attention.
Machine Learning Engineer

LinkedIn

Databricks Logo

Databricks

Zulily Logo

Zulily

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9 months ago
System Design
10 months ago
Design a system for managing inventory in a warehouse.
Machine Learning Engineer

LinkedIn

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10 months ago
Coding
10 months ago
How would you utilize a hash table to efficiently solve the two sum problem in O(n) time complexity?
Machine Learning Engineer

LinkedIn

Shopify Logo

Shopify

BuzzFeed Logo

BuzzFeed

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10 months ago
System Design
a year ago
Design a system for managing a distributed graph database.
Machine Learning Engineer

LinkedIn

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a year ago
System Design
a year ago
Design a system for real-time sentiment analysis of social media posts.
Machine Learning Engineer

LinkedIn

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a year ago
Behavioral
a year ago
What does the typical timeline of an ML project look like, from the first step to the last?
Machine Learning Engineer

LinkedIn

Ancestry Logo

Ancestry

Zendesk Logo

Zendesk

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a year ago

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

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