Clustering Algorithms, EM, Bayesian statistics, Coding
Machine Learning Engineer Interview Questions
Machine Learning Engineer Interview Questions
Les entreprises s’appuient sur les machine learning engineers pour les aider à concevoir et à améliorer les systèmes qui permettent à leurs logiciels de s’améliorer eux-mêmes, plutôt que d’être programmés. Au cours de l’entretien, préparez-vous à être longuement interrogé sur vos connaissances en informatique et en science des données et, en particulier, sur votre capacité à reconnaître des modèles et des tendances. Un diplôme en informatique ou dans un domaine équivalent sera exigé.
Questions d'entretien d'embauche fréquentes pour un machine learning engineer (H/F) et comment y répondre
Question 1 : Quels sont les algorithmes, termes de programmation et théories les plus importants à maîtriser en tant que machine learning engineer ?
Question 2 : Comment expliquer l’apprentissage automatique à quelqu’un qui ne comprend pas ce domaine ?
Question 3 : Comment se tenir informé des dernières nouveautés et tendances en matière d’apprentissage automatique ?
8,202 machine learning engineer interview questions shared by candidates
How could you minimized the inter-correlation between variables with Linear Regression?
Q: Given a dataset, setup a feature engineering pipeline.
How to deal with heavy traffic (if the model is deployed on AWS)?
Why should we hire you?
leetcode #210 on course prerequisites. Given the total number of courses and a list of prerequisite pairs, return the ordering of courses The interviewer could not articulate the problem as clearly as described in leetcode,
90 min technical round - Run through the resume - Whiteboard system design with a verbal explanation (supply chain-related ML solution) Take-home assessment - System design for recommender engine Hiring manager call - Trees, regression ML question
Questions about python, Machine Learning, whether papers had been published, questions on recursions. Oddly enough, the questions were simple... However, one person spoke very bad english and it was not possible to understand what he was saying. In Machine Learning there are a lot of acronyms PCA, R^2, TSNE, ReLU, Sigmoid... but for the life of me I couldn't understand what the person was saying.
Why I am interested in their company?
Please describe an advanced machine learning method, more advanced than CNN or RNN.
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