Describe the bayesian classifier
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Coding question: Given a 2d grid map of '1's (land) and '0's (water), count the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrounded by water
Machine learning related question: The company currently have: 1. user profiles 2. a list of job each user applied 3. job profiles question: how to build a job recommendation system using these information?
Only one easy/medium leetcode question during the coding module.
Given a list of side lengths, how many triangles can you form with 3 sides in the list?
Given the buy's price and the sales's price of cars, which one of those parameters would you choose as the target variable? and why?
Q. Technical questions can involve definitions, explaining architectures and algorithms, and how to solve specific problems in ML (overfitting, imbalanced data, etc.).
The coding question was not so difficult but it was a very lengthy question. Python dictionary DS question. The interviewer was very helpful and communicative during the interview process.
How do you handle diversity? If you can't understand one of the employees that is not from here what do you do?
Q: Would you want to be in a phone call with Japan the whole day?
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