How do data scientists use statistics?
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What skills do I need to be a data scientist?
Can you explain collaborative filtering?
What do you understand by the lattice package?
Do you prefer python or r for text analytics?
Are the expected value and mean value different?
How do you treat outlier data?
What makes the difference between “long” and “wide” format data?
What are feature vectors?
What are the types of business decisions?
Explain auto-encoder
What is the 80/20 rule? Explain its importance in model validation?
How would you say data science is similar or different to business analytics and business intelligence?
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