Quelles mesures permettent de vérifier la qualité d'un algorithme de clusterisation ?
Machine Learning Engineer Interviews
Machine Learning Engineer Interview Questions
Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Top Machine Learning Engineer Interview Questions & How to Answer
Question 1
Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?
How to answer
How to answer: Be prepared to talk about things like Type I and Type II errors, supervised and unsupervised machine learning, ROC curves, and other key parts of machine learning. Employers want to know you have a strong knowledge of the technical aspects of the job position.
Question 2
Question #2: How would you explain machine learning to someone who doesn't understand it?
How to answer
How to answer: Sometimes machine learning engineers have to work with people who aren't familiar with the technical aspects of the job. Use this interview question as an opportunity to show your strong knowledge of the position and your communication abilities.
Question 3
Question #3: How do you stay up to date with the latest news and trends in machine learning?
How to answer
How to answer: By talking about how you're up to date with the latest news and trends in machine learning, you can show an employer that you're engaged in the industry, a skilled researcher, and self-motivated.
8,202 machine learning engineer interview questions shared by candidates
I was asked why I only knew AI and wasn't willing to expand my skillset
Engineering + ML systems experience questions.
Rank variables according to predictive power w.r.t. class labels.
Basic Python Programming Questions. Questions on Group By, Joins, Subqueries, Windows Functions Basic Machine Learning questions on Linear and Logistic Regression
What is linear regression and polynomial regression and what is high bias and high variance
Questions didn't pertain to the job description. The initial job description was more generalized. The questions I got were specific to a sub-branch within the general description.
Expected number of loops if we randomly tie 100 ropes together sequentially
What do you know about our job?
How did you solve your challenge you faced in solving competitions problems?
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