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!
The video below is an excellent review of important probability topics by Justin Zeltzer at zstatistics.com
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.
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.
Please head over to the R tutorial to learn how to explore data with descriptive statistics in