From Probability to Maximum Likelihood Estimation (MLE)

From Probability to Maximum Likelihood Estimation (MLE)

CS109A Introduction to Data Science

Pavlos Protopapas, Natesh Pillai

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Outline

? What is a random variable? ? Point estimates of random variables. Confidence Intervals,

Histogram and PDF/PMF ? Known random variables: Uniform, Binomial. Normal ? Modeling Data with Probability Distributions ? Likelihood Theory ? Modeling Linear Regression Probabilistically

CS109A, PROTOPAPAS, PILLAI

1

Outline

? What is a random variable? ? Point estimates of random variables. Confidence Intervals,

Histogram and PDF/PMF ? Known random variables: Uniform, Binomial. Normal ? Modeling Data with Probability Distributions ? Likelihood Theory ? Modeling Linear Regression Probabilistically

CS109A, PROTOPAPAS, PILLAI

2

CS109A, PROTOPAPAS, PILLAI

3

CS109A 100m dash

WHO WILL WIN THE 100M DASH?

CS109A, PROTOPAPAS, PILLAI

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