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,
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
one code test with 20 mins
Problem1: K-th largest number in an array
Problem 2: Median of Median.
dealing with unbalanced data for classification?
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.
Talk about one project that is the most related. Why ThredUp?
standard Python coding and machine learning questions.
What is the complexity of this algorithm?
First question I was asked in the first interview since I had a Computer vision project was that how does different layers of CNN work and what will happen if we remove them ?
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