Please explain gradient descent?
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What is the job of analytics?
What is meant by selection bias?
How decision tree algorithm is different from the random forest algorithm?
Explain the structure of artificial neural networks?
What is data science? How would you say it is similar or different to business analytics and business intelligence?
Can you explain collaborative filtering?
Explain reinforcement learning.
What are outlier values?
Does the data scientist need to know programming?
What is churn? How would it help predict and control churn for a customer?
What would you do to summarize a Twitter feed?
Can you cite some examples where a false negative important than a false positive?