Wealthfront Machine Learning Engineer interview questions.

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69 Wealthfront Machine Learning Engineer questions
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69 questions for Wealthfront Machine Learning Engineer

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Role

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Coding

4 months ago

In R, how can you generate a dataset of 1000 normally distributed points with mean=x and variance=y, provide summary statistics, and plot the density? Also, replicate these steps in a Python script within Codility's editor.

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4 months ago

Coding

5 months ago

Can you find the least length subarray that sums to a target value or more, utilizing a greedy tactic?

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5 months ago

Coding

5 months ago

Could you code a function that reverses the order of characters in a string?

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5 months ago

Coding

6 months ago

How can you simulate a fair die roll in code, and what method would you use to confirm its fairness?

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6 months ago

Coding

9 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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9 months ago

ML Knowledge

a year ago

Can you discuss the concept of bootstrapping and your view on its application for sample size enhancement?

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a year ago

StatisticsML Knowledge

a year ago

Could you guide us through the Naive Bayes algorithm and the basis for setting its classification threshold?

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a year ago

Coding

a year ago

Could you create a function that employs binary search to locate the maximum integer in a list?

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a year ago

Coding

2 years ago

What algorithm would you use to write a function for finding the longest path in a DAG?

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2 years ago

Coding

2 years ago

Can you compose a function that takes in two arrays and outputs the RMSE?

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2 years ago

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