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ML Knowledge
2 years 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
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Fujitsu

NetEase Logo

NetEase

Slack Logo

Slack

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2 years ago
System Design
3 years ago
Design a system for managing a distributed search engine.
Machine Learning Engineer
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Fujitsu

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3 years ago
System Design
3 years ago
Design a platform for processing IoT data in real-time.
Machine Learning Engineer
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Fujitsu

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3 years ago
ML Knowledge
3 years ago
What are the dissimilarities between the K-means algorithm and the Expectation-Maximization (EM) algorithm?
Machine Learning Engineer
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Fujitsu

Robinhood Logo

Robinhood

Pendo Logo

Pendo

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3 years ago
ML Knowledge
3 years ago
What's the principle behind collaborative filtering in the domain of ML?
Machine Learning Engineer
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Fujitsu

Outbrain Logo

Outbrain

Zalando Logo

Zalando

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3 years ago
ML Knowledge
3 years ago
How would you describe regularization in the context of machine learning ?
Machine Learning Engineer
Fujitsu Logo

Fujitsu

PayPal Logo

PayPal

Peloton Logo

Peloton

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3 years ago
Coding
3 years ago
What greedy strategy would you use to find the smallest subarray with a sum at least equal to a given target?
Machine Learning EngineerData Scientist
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Fujitsu

Intel Logo

Intel

GoDaddy Logo

GoDaddy

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3 years ago
System Design
3 years ago
Architect a system for real-time auctions in online ads.
Machine Learning Engineer
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Fujitsu

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3 years ago
ML Knowledge
3 years ago
Would you mind breaking down the interplay between bias and variance in machine learning and giving an example of how this tradeoff can emerge in a model's results?
Machine Learning Engineer
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Fujitsu

Bloomberg Logo

Bloomberg

Pluralsight Logo

Pluralsight

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3 years ago
ML Knowledge
3 years ago
Could you explain the concept of error in linear regression and its significance in ensuring precise modeling?
Machine Learning Engineer
Fujitsu Logo

Fujitsu

Arm Logo

Arm

Okta Logo

Okta

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3 years ago

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

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