Core Concepts
Introduction to Probability and Probability Distributions
- Probability Basics
- Bayes Theorem
- Naive Bayes
- Discrete and Continous Probability Distributions
- Cumulative distribution Functions
Ways to describe distributions and probability distribution for Multiple Variables
- Different ways to describe distributions including visualizations
- Joint distributions
- Marginal distributions
- Covariance Matrix
- Covariance of Probability Distributions
- Correlation Coefficient
- Multivariate Gaussian Distribution
Sampling and point estimation
- Sampling basics
- Point Estimation Techniques
- Maximum Likelihood estimation
- MAP or maximum a posteriori estimation
Confidence Intervals and Hypothesis Testing
- Interval estimation techniques
- Confidence Interval
- Hypothesis Testing
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