1. Resume Based 2. NLP based case studies
Sr Data Scientist Interview Questions
3,495 sr data scientist interview questions shared by candidates
Boosting, bagging ,random forests , regression
Mostly related to projects and Machine learning algorithms.
(Ohne Vorbereitungszeit) Präsentiere ein Projekt, an dem du gearbeitet hast, welches für Zühlke relevant ist.
1. "Explain the tradeoff between bias and variance." 2. "Explain what regularization methods are." 3. "Explain how to build a decision tree." 4. "Explain the difference between bagging models and boosting models." 5. "Explain the difference between GRU and LSTM models." 6. "Explain the difference between a CNN and RNN model." 7. "Explain how transforms work." 8. "Explain how BERT works."
Statistics Related Questions.
Database, machine learning modeling, oop
Some problem statements regarding NLP and Statistics.
Typical SQL questions (percentage and ranking) and data wrangling focused on aggregating granular data to make it ready for analytics
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