Can you explain collaborative filtering?
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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.
Are the expected value and mean value different?
Name commonly used algorithms.
How will you compare the results of various machine learning algorithms?
How will you check if an element 25 is present in a vector?
Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?
Explain the goal of a/b testing?
What is an api?
What is the goal of A/B Testing?
What are distance measures in R statistics?
Can you define a/b testing?
Python is enough for data science ?
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