Interview Questions

Anonymous Muskox - "So Machine learning provides the ability to machines to learn patterns from large data. So applying the same when needed. So the type of algorithm depends on the requirement/use case or the data. For example, if we have data that is labeled and we need to do classification then we will go and perform logistic regression but if we want prediction instead of classification, then we will go and build a regression model. In case the data is not labeled, then we can go ahead and build a model usin"See full answer

Exponent - "This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer. Unfortunately, there's no formula for technical questions, but some general tips are: Use analogies when you can Break your solution into clear, bite-size steps Don't be afraid to use examples to b"See full answer

Matthew P. - "I am"See full answer

Anonymous Muskox - "Metrics which Youtube Consider before building a recommender system Number of likes on a video by user The watch time of a video by the user The video disklied by the user The video share by a user The video skipped or churn with 20-30 seconds. Depending on this Youtube build a recommender system. The video suggestion feature in youtube works based on the recommender system. It may use a hybrid of batch prediction and online prediction. So depending on the above metrics, the youtube p"See full answer

Medha A. - "DAU and MAU: The number of active users daily and monthly to gauge the content recommended on the home page. Bounce Rate: The percentage of users who navigate away from the site after viewing only the home page. Number of Signups: The number of users who signup after seeing the content on the homepage leading to lower CAC. "See full answer

Takashi M. - "Designing a Pseudo Random Number Generator (PRNG) involves creating an algorithm that generates a sequence of numbers that appear random while being deterministic, meaning that the same sequence can be reproduced given the same initial conditions. Here's a basic outline of how you could design a PRNG: Define the seed: The PRNG algorithm requires a seed value to initialize the generator. The seed can be any value, such as a number provided by the user or obtained from system data like the curr"See full answer

R - "Assumptions I am going to assume that users know how to send smell through the phone I am also going to assume this is only available between phone-to-phone and not server-to-phone Clarifying questions What are the goals? Customer retention or New market/user acquisition? I would like to pick New Market/User acquisition because this is a new technology that can be used in new use cases in new verticals. Metrics We will measure number of users who used this new technology We will measure"See full answer

Ayushi A. - "total outcomes : 36 total favourable outcomes : 35 probability of favourable outcomes: 35/36"See full answer

Andrei S. - "Follow up question was: what is your strategy to sell it?"See full answer

Anonymous Duck - "I will work with data scientist to implement anomaly detection models to flag any deviations in a business’s review patterns over time. Like if any sudden influx of positive reviews after a negative review could indicate a reputation management effort. Or Any like any bot reviews happening in quick sessions happening from different cities/geo locations"See full answer

Divyani .. - "Did the code in Python"See full answer