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How Probability is used in Machine Learning?
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How Probability is used in Machine Learning?
This is based on the concept of dependent events , where probability that an event A takes place will depend on another event B.
Conditional Probability of an Event B given A [represented by=> P(B/A)]
Formula => P(B/A) = P(A and B intersection) / P(A)
Conditional Probability of an Event B given A [represented by=> P(B/A)]
Formula => P(B/A) = P(A and B intersection) / P(A)
Community Answer
How Probability is used in Machine Learning?
Machine Learning doesn't make sense without probability
...》》Probability is the field of Mathematics that gives us the language and tools to quantify the uncertainty of events and reasons in the principled manner.We can assign and quantify the likelihood of things we care about,such as outcomes, events or numerical values.
...》》Probability is the field of Mathematics that gives us the language and tools to quantify the uncertainty of events and reasons in the principled manner.We can assign and quantify the likelihood of things we care about,such as outcomes, events or numerical values.
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How Probability is used in Machine Learning?
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How Probability is used in Machine Learning? for Class 12 2024 is part of Class 12 preparation. The Question and answers have been prepared according to the Class 12 exam syllabus. Information about How Probability is used in Machine Learning? covers all topics & solutions for Class 12 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for How Probability is used in Machine Learning?.
How Probability is used in Machine Learning? for Class 12 2024 is part of Class 12 preparation. The Question and answers have been prepared according to the Class 12 exam syllabus. Information about How Probability is used in Machine Learning? covers all topics & solutions for Class 12 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for How Probability is used in Machine Learning?.
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