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I applied via Google.co.in and was interviewed in Mar 2022. There were 2 interview rounds.
Google own Platform
posted on 2 May 2024
I was interviewed in Apr 2024.
Aptitude basic maths and pseudo code output choose the best answer
DS algorithms, General Problem solving
Not so tough and you will learn a lot of things that are new to you
The duration is about 90 minute
posted on 2 May 2024
I was interviewed in Apr 2024.
Aptitude basic maths and pseudo code output choose the best answer
DS algorithms, General Problem solving
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
You can get the information and answer in Google
Bayes' rule is a fundamental concept in probability theory that allows us to update our beliefs based on new evidence.
Bayes' rule is named after Thomas Bayes, an 18th-century mathematician.
It is also known as Bayes' theorem or Bayes' law.
Bayes' rule calculates the probability of an event based on prior knowledge and new evidence.
It is commonly used in machine learning and statistical inference.
The formula for Bayes' ru...
Not so tough and you will learn a lot of things that are new to you
The duration is about 90 minute
posted on 27 Feb 2024
Given the API rand7() that generates a uniform random integer in the range [1, 7], write a function rand10() that generates a uniform random integer in the range [1, 10]. You can only call the API rand7(), and you shouldn't call any other API. Please do not use a language's built-in random API.
posted on 15 Jan 2024
I applied via Referral and was interviewed before Jan 2023. There were 2 interview rounds.
Using associate rule mining to find patterns in data
Associate rule mining is a technique used to discover interesting relationships or patterns in large datasets
It is commonly used in market basket analysis to find associations between items purchased together
The output of associate rule mining is a set of rules in the form of IF-THEN statements
Support and confidence are two important measures used in associate rule mi...
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