How has your prior experience prepared you for a role in data science?
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State some use cases where Hadoop MapReduce works well and where it does not.
A building has 100 floors. Given 2 identical eggs, how can you use them to find the threshold floor? The egg will break from any particular floor above floor N, including floor N itself.
What prior knowledge is required to become data scientist?
What is the role of activation function?
Why is data munging useful?
Explain the difference between a test set and a validation set?
What do you understand by l1 and l2 regularization methods?
Why data science and data scientists are needed?
How can you deal with different types of seasonality in time series modelling?
What do you understand by the selection bias? What are its various types?
How do you do for loops in python and r?
State the difference between the expected value and mean value?
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