What do you know about sigmoid?
Machine Learning Intern Interview Questions
8,194 machine learning intern interview questions shared by candidates
what is the recenly project you have finished, which machine learning methods and approach you are using to achieve the goal
Situation where you had a disagreement with a colleague/boss? Situation where you had to take a risk where the end result was success/failure?
Describe a time when you stood up for an idea/opinion you believed in?
Predicting prices.
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
program k-nearest neighbour from draft
A few questions on algorithmic complexity
Describe your typical workflow. Describe what models you commonly use.
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