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.



Probability Concepts





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

Mean





Median





Measuring Variablity

Variance and Standard Deviation





Percentile Distributions

Quantiles





Interquartile Range



Correlation

Covariance and Correlation





Next Steps

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