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Probability & Statistics Fundamentals for Machine Learning Chapter 1: Introduction to Probability What is Probability?Basic Probability Rules Conditional Probability Bayes' Theorem Chapter 2: Descriptive Statistics Measures of Central Tendency Measures of Dispersion Data Visualization Chapter 3: Probability Distributions Discrete Distributions Continuous Distributions Normal Distribution Other Common Distributions Chapter 4: Introduction to Statistical Inference Sampling Methods Confidence Intervals Hypothesis Testing Chapter 5: Practical Applications and Conclusion Applying Statistics in Machine Learning Course Summary Next Steps

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