Round 1 Leetcode medium question based on trees Round 2 System design question on a specific scenario that team is currently facing Round 3 Leetcode medium question based on monotonic stack Round 4 ML breadth round focused more on basic to advanced ML knowledge and a discussion on how would you approach a given ML problem that they are facing. All rounds constituted at least 2 behavioral questions either at start or end of the interview.
Complete a homework exercise and solve an ML problem.
Given preorder and inorder traversal of a tree, construct the binary tree.
30 minutes of machine learning: what's word2vec 30 minutes of coding.
Provide details about LDA and Gibbs Sampling.
Asked questions about my research.
He ask a rapid series of questions covering basic aspects of Machine Learning and Deep Learning. He also asked me to do an interactive coding question to identify basic metrics such median from streaming data.
Erzähle mir von einer Situation, in der du Kritik bekommen hast - wie bist du damit umgegangen, was hast du getan? Erzähle mir von etwas was du dir selbst beigebracht hast / auf was du stolz bist.
What is your salary expectation?
Pourquoi Wavestone ? Pourquoi le conseil ? Pourquoi ce stage en particulier ? Questions sur les expériences en data science (en allant un peu dans le technique) Etude de cas typique d'un consultant data (jeu de donnée, savoir en tirer des insights en fonction de la problématique client)
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