Studying ‘Artificial Intelligence’

Study Procedure Find and understand overall sub-fields of the artificial intelligence References Artificial intelligence – Wikipedia, the free encyclopedia Introduction to the artificial intelligence Sub-fields of the Artificial Intelligence The fields of the AI can be classified by goals, approaches, and tools. Goals Deduction, reasoning, problem solving Knowledge representation Default reasoning and the qualification problem […]

Machine Learning: Regression | Machine Learning Specialization | Coursera

Brief Information Name : Machine Learning: Regression Lecturer : Carlos Guestrin and Emily Fox Duration: 2015-12-28 ~ 2016-02-15 (6 weeks) Course : The 2nd(2/6) course of Machine Learning Specialization in Coursera Syllabus Record Certificate Learning outcome Describe the input and output of a regression model. Compare and contrast bias and variance when modeling data. Estimate model parameters using optimization algorithms. […]

Machine Learning Foundations: A Case Study Approach | Machine Learning Specialization | Coursera | Course

Brief Information Name : Machine Learning Foundations: A Case Study Approach Lecturer : Carlos Guestrin and Emily Fox Duration: 2015-10-22 ~ 11-02 (6 weeks) (~11-09) Course : The 1st (1/6) course of Machine Learning Specialization in Coursera Syllabus Record Certificate Learning outcome Identify potential applications of machine learning in practice. Describe the core differences in analyses enabled by regression, […]

Studying ‘Machine Learning’

Reference For Motivation 역시 미래는 모바일 No 머쉰러닝 Yes | 포프TV | Youtube 머쉰러닝 | 포프TV | Youtube Reference For Study Articles The Best Advice From Quora on ‘How to Learn Machine Learning’ | KDnuggets News Courses Machine Learning Specialization | University of Washington | Coursera Machine Learning Foundations: A Case Study Approach | Machine Learning […]

Artificial Intelligence | CS | Course

Brief Information Name : Artificial Intelligence Lecturer : Byung Joon Park Semester : 2015 Spring Course : BE, Computer Science and Engineering Textbook Nilsson, N. J. (1998) Artificial Intelligence: A New Synthesis. 1st Ed.  Morgan Kaufmann Publishers Syllabus : Syllabus_2015-4-1__Artificial Intelligence In short Artificial Intelligence Trace lectures Assignments Summarize themes