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System Design
10 months ago
Design a system for managing a distributed load balancer.
Machine Learning Engineer

Workday

Get answer reviewed by AI
10 months ago
Coding
10 months ago
Write a function that inputs 2 arrays and returns the root mean squared error for them.
Machine Learning EngineerData Scientist

Workday

Bloomberg

Wise

let's consider two vectors y and y_bis, the root mean square error between these two vectors is equal to the L2-norm between y and y_bis. in another words, let's consider z = y - y_bis. the root mean squared error corresponds to the square root of the sum square element of z.

I will code it in Python : 


first thing to have in mind is to code the sqrt function to compute square root of a number. for this purpose we use newton method.


def sqrt(x: float, epsilon: float = 1e-10) -> float:

    if x < 0:

        raise ValueError("Cannot compute square root of negative number.")

    if x == 0 or x == 1:

        return x


    guess = x / 2.0

    while abs(guess * guess - x) > epsilon:

        guess = (guess + x / guess) / 2.0

    return guess


now that we have the sqrt function we can define the root mean squared error function as :

def rmse(y: List[float], y_bis:List[float]) -> float:

    return sqrt(sum((y-y_bis)**2))


sum() is a native function in python.

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10 months ago
ML Knowledge
a year ago
How do you perceive the importance of feature selection in the world of machine learning?
Machine Learning Engineer

Workday

Zendesk

GitHub Logo

GitHub

feature selection is an affective way to reduce the complexity of the model, when there is not enough data or we have missing data for some features, moreover, it could help to reduce the bias in the model for some features like gender or race.  There are two ways for doing feature selection: automatic feature selection using techniques like L1 regularization, and the other way is to manually analyze the affect of each feature on the prediction performance. The later is very effective when using traditional feature engineering, however, with representation learning and high dimensional features, it can be more expensive. 

The manual analyziz involves techniques like leave one out and see the affect of the feature on the performance, this could be very expensive for Deep neural networks. 

Get answer reviewed by AI
a year ago
System Design
a year ago
Develop a point-of-sale financing solution for Workday.
Machine Learning EngineerTechnical Program ManagerSoftware EngineerML Engineering Manager

Workday

Recruit Holdings Logo

Recruit Holdings

Productboard Logo

Productboard

My system will have the following components

a) Credit Check Service -> we use this to check the credit worthiness of the user 

b) Collect Credit card infomraiton - which will then be authorized to be charged in installments at a later time

c) A scheduler which schedules a payment to be charged 

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a year ago
System Design
a year ago
Design a system for detecting fraudulent transactions.
Machine Learning Engineer

Workday

Get answer reviewed by AI
a year ago
System Design
a year ago
Design a web-based URL shortener similar to TinyURL.
Machine Learning Engineer

Workday

Get answer reviewed by AI
a year ago
ML Knowledge
a year ago
Are the beginning layers or the ending layers of a neural network more susceptible to vanishing gradients?
Machine Learning Engineer

Workday

Peek Logo

Peek

Rivian Logo

Rivian

Get answer reviewed by AI
a year ago
ML KnowledgeML Case
a year ago
What are your go-to optimization techniques and how do they essentially operate?
Machine Learning Engineer

Workday

Blend Logo

Blend

Udemy Logo

Udemy

Get answer reviewed by AI
a year ago
Coding
a year ago
Could you produce 1000 data points in R with a normal distribution, defined mean, and variance, analyze the dataset summary, and plot its density? Also, show how to do this in a Python environment on Codility.
Machine Learning Engineer

Workday

Peek Logo

Peek

Bloomberg

Get answer reviewed by AI
a year ago
Coding
a year ago
Can you find which of these words are anagrams? Listen and Silent, Enlist and Silent.
Machine Learning Engineer

Workday

Palantir Technologies Logo

Palantir Technologies

Glovo Logo

Glovo

Get answer reviewed by AI
a year ago

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Workday

Machine Learning Engineer

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

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