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Bayesian Interpretation of Probability
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With this list you have a gentle introduction to the intuitions and math underlying Bayes' Theorem and be able to apply this knowledge to interpreting statistical analyses and model fitting
Potential Use Cases
probability, statistical analyses, model fitting, machine learning
Who is This For ?
Python users, data scientists, data analysts
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1. Joint, Marginal, and Conditional Probabilities
What are the various types of probability and how do they relate to one another?
2. Conditional Probability
What are conditional probabilities?
3. What is Bayes' Theorem
What is Bayes' Theorem?
4. Bayesian Probability in Machine Learning
What is Bayes' Theorem and how can we implement it in our analyses?
5. Bayesian vs. Frequentist Interpretation of Probability
Hos is Bayes different from NHST?