MANB2153-01 PEMBELAJARAN MESIN UNTUK MASALAH PERNIAGAAN (MACHINE LEARNING FOR BUSINESS PROBLEM)
The aim of this course is to introduce the concept of modern methods of probabilistic reasoning that are commonly used in many parts of computer science, including artificial intelligence. Such methods have become extremely important and transforming the approach to a great variety of computational problems, in the field of computer science itself, and broadly across many application fields. The course will cover in depth understanding on the components of Advance AI, namely deductive reasoning agents, reactive agents, probabilistic reasoning and Bayesian networks. At the end of this course, students should be able to read the relevant research literature as well as apply the methods to the myriad applications in computer science and other disciplines where reasoning (inferencing and decision making) under uncertainty is important. The topics includes reasoning, problem solving, decision making and etc. Students gain knowledge through learning for both problem solving and reasoning and should be able to apply the knowledge in any application of computer science.
MANB1153-01 PERLOMBONGAN DATA DAN ANALITIK PERNIAGAAN (DATA MINING FOR BUSINESS ANALYTICS)
MANB1153-02 DATA MINING AND BUSINESS ANALYTICS (PERLOMBONGAN DATA DAN ANALITIK PERNIAGAAN)
WELCOME TO DATA MINING AND BUSINESS ANALYTICS