This course will become read-only in the near future. Tell us at community.p2pu.org if that is a problem.
Everyone from Google to Microsoft is looking for a way to a way to make computers more communative with humans. After a successful demonstration of IBM's computer named Watson beating out two of Jeopardy's most successful competitors much attention has been given to NLP. This course discusses the challenges and successes in NLP.
Clustering is when the computer processes objects through clusters. Please watch http://videolectures.net/mlss09uk_bishop_ibi/ To summarize: a Bayesian network is a graph where nodes represent non-deterministic and sporadic variables. If easy, each value is discrete and takes a limited set of values. If needed, please see the lecture notes on http://ite.gmu.edu/~klaskey/SYST664/SYST664.html
