Asks a couple of behaviour questions based on the Leadership principles. Then basics of ML: ensemble methods, unsupervised methods, ROC-AUC, covering the breadth. Then for the depth: workings of RNN, Transformers, LLMs. A general coding problem, probably a Leetcode easy.
Data Scientist Trainee Interview Questions
54,515 data scientist trainee interview questions shared by candidates
Write a SQL query on Highest cost orders
What are some of the challenges you facing in doing your work and how did you handle them?
Come pensi che la.tua presenza sia importante
Q1: Probabilty calibration Q2: Classifiers ? Q3: Evaluation metrics - various
Two Sum question.
You have a singly linked list, how would you find the median?
Why does random forest work so well?
boosting bagging bias variance tradeoff log reg and the descision boundry gausian plane normalization random forest and types of trees. cluster and regression supervised and unsupervised learning
2-part question combining two tables with string transformations (use any language you want, but R is missing)
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