Probability and Mathematical Needs
published: March 31, 2011, recorded: February 2011, views: 6093
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
In order to process, manipulate and learn from large n-dimensional datasets a number of mathematical methods using linear algebra are presented. Further, to make predictions about the nature of data, especially based on the past observations, it is necessary to investigate probabilities.
Topics covered include vector spaces, the concept of orthogonality, matrices, matrix decompositions. Also discrete and continuous probabilities, conditional probabilities and Bayes Rule are discussed.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !