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ML Knowledge
2 years ago
What sets XGBoosting apart from other ensemble models, and why is it becoming increasingly popular?
Machine Learning Engineer

Grab

New Relic

GitHub

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2 years ago
ML KnowledgeML Case
2 years ago
Discuss the optimization algorithms you have used and their fundamental principles.,
Machine Learning Engineer

Grab

Blend

Udemy

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2 years ago
ML System Design
2 years ago
Describe the components and design principles you would incorporate into the Bing image search architecture.
Machine Learning Engineer

Grab

Motorola Solutions Logo

Motorola Solutions

Pendo Logo

Pendo

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2 years ago
Coding
2 years ago
Can you devise a binary tree given its preorder and inorder traversals?
Machine Learning Engineer

Grab

Rovio Logo

Rovio

Hewlett Packard Logo

Hewlett Packard

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2 years ago
Coding
2 years ago
How would you author a function to perform operations on a pandas dataframe?
Machine Learning Engineer

Grab

Snowflake Logo

Snowflake

StubHub Logo

StubHub

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2 years ago
ML Knowledge
2 years ago
What is the difference between batch normalisation and instance normalisation?
Machine Learning EngineerData Scientist

Grab

eBay Logo

eBay

Samsara Logo

Samsara

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2 years ago
Coding
2 years ago
How would you approach coding for the longest consecutive growth stretch in an array with dynamic programming?
Machine Learning Engineer

Grab

Chime Logo

Chime

Stripe Logo

Stripe

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2 years ago
System Design
2 years ago
Implement a distributed system for storing key-value pairs.
Machine Learning Engineer

Grab

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2 years ago
Coding
2 years ago
How do you code a Python program to output the Fibonacci series up to a certain number?
Machine Learning Engineer

Grab

Panasonic Logo

Panasonic

HubSpot Logo

HubSpot

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2 years ago
System Design
2 years ago
Build a consensus algorithm for distributed systems.
Machine Learning Engineer

Grab

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2 years ago

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

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