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System Design
a year ago
Design a recommendation system for finding friends on social networks.
Machine Learning Engineer

Verizon

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a year ago
Coding
a year ago
What method would you use to find the dot product between two sparse matrices?
Machine Learning EngineerData Scientist

Verizon

Avito Logo

Avito

Coinbase Logo

Coinbase

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a year ago
ML Knowledge
a year ago
What can you tell me about the efficiency of SVM training in terms of time complexity? Could you explain the time efficiency of inference with a trained SVM model? Could you describe how kernel selection (Linear vs RBF) affects the time complexity of SVMs?
Machine Learning Engineer

Verizon

IBM Logo

IBM

Asana Logo

Asana

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a year ago
ML Knowledge
a year ago
What constitutes the practice of outlier detection in the field of analytics?
Machine Learning Engineer

Verizon

Wish Logo

Wish

Akamai Logo

Akamai

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a year ago
System Design
a year ago
Develop a service discovery mechanism for microservices in distributed environments.
Machine Learning Engineer

Verizon

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a year ago
System Design
a year ago
Build a distributed platform for storing and serving digital assets.
Machine Learning Engineer

Verizon

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a year ago
System Design
a year ago
Create a high-volume email sending service.
Machine Learning Engineer

Verizon

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a year ago
ML Knowledge
2 years ago
Could you elaborate on the treatment of categorical data when faced with high cardinality?
Machine Learning Engineer

Verizon

Palo Alto Networks Logo

Palo Alto Networks

Roblox Logo

Roblox

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2 years ago
Coding
2 years ago
Can you devise an algorithm that finds all possible triplets in an input array whose sum adds up to a specified target value?
Machine Learning Engineer

Verizon

Datadog Logo

Datadog

Nuro Logo

Nuro

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2 years ago
ML Knowledge
2 years ago
Can you describe the principal mechanism by which PCA operates?
Machine Learning Engineer

Verizon

Expedia Logo

Expedia

Zillow Logo

Zillow

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2 years ago

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

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