What does it mean if you have a data like this [10 10 10 10 10 10 10 10 10 10 10 ... 10] ?
Data Science Consulting Interview Questions
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A entrevista, para mim, não foi difícil, mas marquei como difícil, pois se você for mediano no tema, certamente não se sairá muito bem. Há perguntas para justificar uso de modelos, de abordagens, de técnicas de deep learning e Gen AI. Há, também, perguntas de como sua solução pode ser implementada em um cenário real (escala, custos financeiros, custos computacionais, manutenção...).
Moderate level questions on the decisions to apply a particular ML algorithm on a dataset, (What they're looking for is a reasoning that factors in everything like inference time, results examinability(XAI or SHAP) and not just what algorithm will be the most accurate on a dataset. )
How do you maximise profit based on the outcomes of data analysis?
1. Project related questions and high level approach 2. Algorithm related questions 3. Python data structure questions
Asked about probability, NLP, Algorithms.
He also wanted me to work 60 hours a week, with a scheduled, in the office full day every other Saturday.
Difference between supervised and unsupervised machine learning
Solve this question based on the graph
What are your experiences with SQL?
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