What is the next step after prepare the dataset?
Applied Scientist Interview Questions
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What are embeddings in NLP ?
What did you do when you can not meet the deadline
Interview of DSA had standard questions from codeforces with difficulty of Div2 C/D. In ML two types of questions were asked breadth/depth. One topic focusing the variety of topics we know and one topic exploring internal and in-depth questions from a topic we choose.
Two phases: ------- General ML phase + code ------- General questions about ML: * Logistic Regression * Unbalanced binary classification problema * Metrics for Information Retrieval .... + Coding problem in front of engineer, leetcode medium level and discuss computational complexity of the proposed solution (time and space). ------- ML in depth + Amazon Leadership Principles------- (Based on the roles, mine was NLP) * The transformer model * Multihead attention * BERT and RoBERTa + STAR format questions about the ALP.
write code to rank imdb films question relate to invent and simplify and ownership
Explain the project you did in your previous internship.
Previous project experience, either from academia or industry.
Self introduction for about 5 minutes
DSA: Q. Count of inversion pairs Q. Something related to topological ordering ML: Q. Unsupervised learning Q. Metrics and their use cases Q. Boosting algorithms and their mathematics Q. Case study Q. Transformers Q. Computer vision architectures
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