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ML Knowledge
4 years ago
How does dimensionality reduction work in Machine Learning? Can you highlight some techniques that are commonly used?
Machine Learning Engineer

TikTok

Zalando

Pinterest

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4 years ago
ML Knowledge
4 years ago
In object detection, how is the bounding box regressor applied?
Machine Learning Engineer

TikTok

Google

Venmo

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4 years ago
ML Knowledge
4 years ago
What are the advantages and disadvantages of decision trees when compared to other classification algorithms?
Machine Learning Engineer

TikTok

Airbnb Logo

Airbnb

Course Hero Logo

Course Hero

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4 years ago
ML Knowledge
4 years ago
What are the pros and cons of using Support Vector Machines in classification tasks?
Machine Learning Engineer

TikTok

Dell Logo

Dell

Faire Logo

Faire

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4 years ago
ML Knowledge
4 years ago
Considering that you already have labelled data for your clustering project, what are some of the methods that you can use to evaluate model performance?
Machine Learning Engineer

TikTok

Livongo Logo

Livongo

Snowflake Logo

Snowflake

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4 years ago
ML Knowledge
4 years ago
Why do you think that Time Series Forecasting is such a valuable tool for businesses to make informed decisions?
Machine Learning Engineer

TikTok

Faire Logo

Faire

Amadeus Logo

Amadeus

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4 years ago
ML Knowledge
4 years ago
Why do many machine learning practitioners choose to use LSTM? Can you also provide some examples of how you've leveraged it in your personal projects?
Machine Learning Engineer

TikTok

Ancestry Logo

Ancestry

Motorola Solutions Logo

Motorola Solutions

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4 years ago
ML Knowledge
5 years ago
Could you describe some of the machine learning architectures that you've worked with thus far in your career?
Machine Learning Engineer

TikTok

Stripe Logo

Stripe

Airtable Logo

Airtable

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5 years ago

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

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