Mailchimp Machine Learning Engineer interview questions.

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60 Mailchimp Machine Learning Engineer questions
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60 questions for Mailchimp Machine Learning Engineer

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Coding

7 months ago

How do you approach calculating the dot product for a pair of sparse matrices?

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7 months ago

ML Knowledge

9 months ago

How do you address the difficulties that arise when training deep neural networks with multiple layers?

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9 months ago

ML Knowledge

a year ago

Can you articulate the differences between using a confusion matrix and an ROC curve for model evaluation?

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a year ago

ML Knowledge

a year ago

Can you elaborate on how gradient boost is used in machine learning and how it works?

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a year ago

ML Knowledge

a year ago

What exactly are overfitting and underfitting in machine learning, and why do they matter in the process of model development?

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a year ago

ML Case

a year ago

Given a dataset of clients who either purchased or did not purchase a certain software, how would you use the information to predict whether future clients would buy the same software? What factors would you prioritize in your dataset?

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a year ago

ML Knowledge

2 years ago

What techniques do you apply to handle skewed data in model performance analysis, and what metrics are essential in these scenarios?

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2 years ago

ML Knowledge

2 years ago

Differentiate between RNN and LSTM.

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2 years ago

Coding

2 years ago

Can you identify the 18th largest element in this array?

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2 years ago

StatisticsML Knowledge

2 years ago

Could you differentiate between false positive and false negative in the context of statistical hypothesis testing? And could you please explain their implications?

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2 years ago

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