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Title : 6.825 Techniques in Artificial Intelligence (SMA 5504) (MIT)

Title : 6.825 Techniques in Artificial Intelligence (SMA 5504) (MIT)

Description : 6.825 is a graduate-level introduction to artificial intelligence. Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5504 (Techniques in Artificial Intelligence).

Description : 6.825 is a graduate-level introduction to artificial intelligence. Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5504 (Techniques in Artificial Intelligence).

Fromsemester : Fall

Fromsemester : Fall

Fromyear : 2002

Fromyear : 2002

Creator :

Creator :

Creator :

Creator :

Date : 2004-06-03T15:18:00+05:00

Date : 2004-06-03T15:18:00+05:00

Relation : 6.825

Relation : 6.825

Language : en-US

Language : en-US

Subject : artificial intelligence

Subject : artificial intelligence

Subject : representation

Subject : representation

Subject : inference

Subject : inference

Subject : first order logic

Subject : first order logic

Subject : deterministic planning

Subject : deterministic planning

Subject : decision-theoretic planning

Subject : decision-theoretic planning

Subject : supervised learning methods

Subject : supervised learning methods

Subject : Bayesian network inference

Subject : Bayesian network inference

Subject : learning

Subject : learning

Subject : Java

Subject : Java