Probability is a branch of mathematics devoted to describing, measuring, and modeling randomness and chance events. Probability plays a significant role in the underlying theory of machine learning, especially supervised classification algorithms.

This week, we will be watching a series of videos and engaging interactive resources from zstatistics.com and Brown University. These are one of the best resources on the internet for a visual-based review of probability and statistics. Enjoy!

# Probability

The video below is an excellent review of important probability topics by Justin Zeltzer at zstatistics.com

## Interactive Demonstrations

The interactive tool from Brown University below describes and simulates chance events and the important concepts of expectation and variance. Have a look at the different simulations to see these concepts in action.

# Descriptive Statistics

Please watch the following videos from the Descriptive Statistics Collection at zstatistics.com to review the fundamental methods for describing the central tendency and variability of data.

## Measuring Central Tendency

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Mean

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Median

## Measuring Variablity

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Variance and Standard Deviation

## Percentile Distributions

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Quantiles

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Interquartile Range

## Correlation

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Covariance and Correlation

# Next Steps

Please head over to the R tutorial to learn how to explore data with descriptive statistics in `R`

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