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ML Knowledge

3 years ago

What is batch normalization? What is dropout?

Data Scientist

Amazon

LendingClub

Atlassian

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3 years ago

ML Knowledge

3 years ago

Define overfitting and underfitting in machine learning, and explain why they are important considerations in model development.

Data Scientist

Amazon

Airbnb

Cure.Fit

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3 years ago

Product CaseML Case

3 years ago

What manner of recall metric would you employ for Samsung phones if you were tasked with predicting the number of products that will need to be recalled from the market?

Data Scientist

Amazon

Rakuten

thredUP

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3 years ago

Behavioral

3 years ago

Describe a community you are passionate about. If you could contribute in any way, what would you do?

Data ScientistProduct ManagerBackend EngineerTechnical Program Manager

Amazon

eBay

GlobalBees

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3 years ago

Behavioral

3 years ago

Describe a project you're really proud of.

Data ScientistTechnical Program ManagerSoftware EngineerProduct Manager

Amazon

Electronic Arts

Dropbox

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3 years ago

ML Knowledge

3 years ago

Explain the importance of feature selection in machine learning.

Data Scientist

Amazon

Swiggy

Noon

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3 years ago

ML Knowledge

3 years ago

What's the difference between the summaries of a Logistic Regression and SVM?

Data Scientist

Amazon

Bosch

Zomato

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3 years ago

ML Knowledge

3 years ago

What does k-means clustering entail, and does it always result in a global optimum? Write a program for k-means clustering given an N*D matrix.

Data Scientist

Amazon

Chime

Convoy

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3 years ago

Statistics

3 years ago

Are there any external or internal factors that could skew the results of an A/B test between the control and variant groups?

Data Scientist

Amazon

Dollar Shave Club

Rivian

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3 years ago

ML Knowledge

3 years ago

What is bootstrapping? Is it good to apply bootstrapping on samples to increase your sample size?

Data ScientistMachine Learning Engineer

Amazon

Atlassian

Dell

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3 years ago

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^*All interview questions are submitted by recent Amazon Data Scientist candidates, labelled and categorized by Prepfully, and then published after being verified by Data Scientists at Amazon.

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