Introduction To Statistical Machine Learning
published: April 1, 2009, recorded: January 2009, views: 7769
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.
This course provides a brief overview of the methods and practice of statistical machine learning, which is concerned with the development of algorithms and techniques that learn from observed data by constructing stochastic models that can be used for making predictions and decisions. The idea of the course is to (a) give a mini-introduction and background to logicians interested in the AI courses, and (b) to summarize the core concepts covered by the machine learning courses during this week.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !