what is overfitting?
Junior Machine Learning Engineer Interview Questions
8,202 junior machine learning engineer interview questions shared by candidates
Bias-variance, Overfitting, and some other basic ML concepts Some problems related to transfer learning Some problems related to scaling the algorithm
Object Oriented Design
bias and variance trade-off
Given an array of strings find all the anagrams
They asked questions on projects. "why did you use a certain machine learning algorithms, and why not another one?
Machine learning exercise: Build model to predict house price, given 1 week to submit answer. Technical telephone interview: (1) Discuss one of your projects; (2) Given a classification problem, discuss how to solve the problem with interviewer.
Implement all-reduce across processes with limited APIs.
How do you understand backpropagation
They asked me to explain a complex ML project in simple language, including the problem, the approach, and the business impact. I answered by walking through a project where I built a predictive model from raw data, explained why I chose a certain algorithm, described how I handled model performance issues, and shared the final results and impact.
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