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Brilliant

Predicting with Probability

via Brilliant

Overview

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Much in life is left to chance, from next week's weather to the stock market to the traits we pass on to our children.

This course provides hands-on experience extracting predictions about the future from weather and airline data.

By the end, you will know how to work with probability mass functions (PMF), cumulative distribution functions (CDF), joint and conditional probabilities, and Bayes' Theorem.

Syllabus

  • Probability Mass Functions
    • Conditional Probability
      • Cumulative Distribution Functions
        • Case Study
          • Case Study Part 2

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