Tinder Machine Learning Engineer interview questions.

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64 Tinder Machine Learning Engineer questions
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64 questions for Tinder Machine Learning Engineer

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Role

Company

Coding

2 months ago

If we were limited to a random number generator, what technique would you use to generate i.i.d. draws from distribution X?

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2 months ago

ML Knowledge

3 months ago

In what scenarios is an ROC curve most useful? Could you explain the difference in approach between bagging and boosting algorithms?

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3 months ago

Coding

6 months ago

Can you construct a hash table using Python code?

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6 months ago

Coding

9 months ago

Write a function that inputs 2 arrays and returns the root mean squared error for them.

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9 months ago

ML Knowledge

a year ago

Could you compare and contrast the applications of a confusion matrix and an ROC curve in model evaluation?

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a year ago

Coding

a year ago

Could you code the inversion of a binary tree in your preferred programming language?

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a year ago

Coding

a year ago

What technique would you apply to compute the dot product of two sparse matrices?

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a year ago

ML Knowledge

a year ago

Could you elucidate what a Neural Network is and its mechanism of action?

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a year ago

ML Knowledge

a year ago

What techniques might you use to evaluate a clustering model's performance if label information is present?

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a year ago

ML Knowledge

a year ago

Differentiate between RNN and LSTM.

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a year ago

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