What are the different deep learning frameworks?
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What are big data and data science?
Is it possible to capture the correlation between continuous and categorical variable?
What is machine learning and how can it be used for time series analysis?
Why is data cleaning essential in data science?
Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?
Explain the term binomial probability formula?
What do you understand by the selection bias?
What prior knowledge is required to become data scientist?
Explain the difference between sas, r and python programming?
How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.
Which one would you prefer for text analytics python or r?
How long does it take to become a data scientist?
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