Como faria para implementar um modelo para validação de empréstimo.
Learning Engineer Interview Questions
6,584 learning engineer interview questions shared by candidates
Standard Data Structure algorithm questions
Behavioral questions were heavily oriented towards the Amazon leadership qualities. > Name a time you were innovative > Name a time you delivered a simple solution to a complex problem. Follow up questions included how to quantify the level of success in projects brought up. Machine learning fundamentals: > How to deal with a troublesome dataset (interpretation open ended so think data cleaning, etc.) > How to deal with misrepresentative training data (imbalanced dataset, overfitting, explain how L1/L2 regularization work at an optimization level) > How to deal with a large dataset where only a few examples are labeled (semi-supervised learning) Coding question was: https://leetcode.com/problems/find-original-array-from-doubled-array/
HackerRank assessment included a variation of Leetcode's Shortest Path to Get Food problem
Questions about what would you do for the specific problems they are facing
A few questions on algorithmic complexity
Describe your typical workflow. Describe what models you commonly use.
Detail about your internship project
Logic question: 6 people in a room, and each person greets every other person once. How many greetings are there?
¿Que es una metodología agile? ¿Que es ML supervisado y no supervisado?
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