Explore topic-wise InterviewSolutions in .

This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.

1.	Consider the Uber cabs company. There are many factors that determine the availability of the drivers and the demand of the users. Model this scenario from an ML perspective and optimize the demand and availability of drivers
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2.	A simple probability question involving likelihood estimate.
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3.	Discussed about my past internship which was also in ML
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4.	What is linear regression ? How do you find the estimates of the coefficient vector.
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Discussion

Explore topic-wise InterviewSolutions in .

Consider the Uber cabs company. There are many factors that determine the availability of the drivers and the demand of the users. Model this scenario from an ML perspective and optimize the demand and availability of drivers

A simple probability question involving likelihood estimate.

Discussed about my past internship which was also in ML

What is linear regression ? How do you find the estimates of the coefficient vector.