What is the k-means clustering method?
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Define naive bayes?
what is bias?
What is the difference between data science, machine learning and artificial intelligence?
What do you understand by the selection bias?
What are independent graphics subsystems?
How would you say data science is similar or different to business analytics and business intelligence?
Name the methods for General component analysis and explain them?
You can roll a dice three times. You will be given $X where X is the highest roll you get. You can choose to stop rolling at any time (example, if you roll a 6 on the first roll, you can stop). What is your expected pay-out?
what is prior probability and likelihood?
What exactly does a data scientist do?
What is the svm algorithm?
You are given 50 cards with five different colors- 10 Green cards, 10 Red Cards, 10 Orange Cards, 10 Blue cards, and 10 Yellow cards. The cards of each colors are numbered from one to ten. Two cards are picked at random. Find out the probability that the cards picked are not of same number and same color.
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