Explain reinforcement learning.
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How will you compare the results of various machine learning algorithms?
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.
How is data modeling different from database design?
What are requirements for clustering?
Discuss 'naive' in a naive bayes algorithm?
What are the differences between data science, machine learning, and artificial intelligence?
Can you provide an example of features extraction?
What is data scientist?
How will you fix multi-colinearity in a regression model?
What is cluster sampling?
Define the unit test with PyUnit?
Explain collaborative filtering
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