Applications of Probability in Data Science
Probability and Probability Distribution Applications in Data Science
Chapter Highlights
• Probability theory and the importance of probability in data science and analytics
• Probability and the related terms including experiments, sample space, events, equally likely events, mutually exclusive events and other terms associated with probability theory
• Different ways of calculating and assigning probabilities—classical, relative frequency, and subjective probability approaches
• Concepts of sets in probability and difference between mutually exclusive and independent events
• Probabilities of mutually exclusive and nonmutually exclusive events using the addition laws of probabilities
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