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课堂讲义(最后更新:2009-9-25)

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机器学习 陈昱 北京大学计算机科学技术研究所 信息安全工程研究中心
课程基本信息 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ch1 Introduction ,[object Object],[object Object],[object Object],[object Object]
Ch1 Introduction ,[object Object],[object Object],[object Object],[object Object]
A Brief History of Machine Learning ,[object Object],[object Object],[object Object]
Some Early Seminal Works ,[object Object],[object Object],[object Object]
What is Machine Learning? ,[object Object],[object Object],[object Object]
What is Machine Learning (2) ,[object Object]
Alternative Views ,[object Object],[object Object],[object Object]
Example of Learning Problem ,[object Object],[object Object],[object Object],[object Object]
Place within Computer Science ,[object Object],[object Object],[object Object]
Relation with other Disciplines ,[object Object],[object Object],Computer Science Machine Learning Statistics
Ch1 Introduction ,[object Object],[object Object],[object Object],[object Object]
Design a Learning System ,[object Object],[object Object],[object Object],[object Object]
starting position of a checkers game, from Wikipedia
a checkers board state, from http://www.5025488.net/bbs/thread-49430-1-1.html
Choose the Training Experien ce ,[object Object],[object Object],[object Object],[object Object]
Choose the Training Experience ,[object Object],[object Object],[object Object],[object Object],Easy for learning!
Choose the Training Experience (2) ,[object Object],[object Object],[object Object],[object Object]
Choose the Training Experience (3) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Chose the Training Experience (3) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Update Summary ,[object Object],[object Object],[object Object],[object Object]
Remaining Issues ,[object Object],[object Object],[object Object]
Remaining Issues ,[object Object],[object Object],[object Object]
Choose the Target Function ,[object Object],[object Object],real number set
How to Define Target Function V ? ,[object Object],[object Object],[object Object],[object Object]
How to Define Target Function V ?(2) ,[object Object],[object Object]
Remaining Issues ,[object Object],[object Object],[object Object]
Choose a Representation of V ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A Simple Representation of V
Remaining Issues ,[object Object],[object Object],[object Object]
Choose an Approximation Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object]
Adjust the Weights ,[object Object]
An Algorithm for Finding Weights ,[object Object],[object Object],[object Object],[object Object],[object Object]
Summary of the Whole Design Process
Issues in Machine Learning ,[object Object],[object Object],[object Object]
Issues in Machine Learning (2) ,[object Object],[object Object]
Ch1 Introduction ,[object Object],[object Object],[object Object],[object Object]
Machine Learning* ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Self-Learning Robot iCub ,[object Object],[object Object]
Application Successes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ch1 Introduction ,[object Object],[object Object],[object Object],[object Object]
Research on ML ,[object Object],[object Object],[object Object],[object Object],*: from a slide by Jaime Carbonell et al. in April 2007.
Ethical Questions ,[object Object],[object Object],[object Object]
Major Conference and Journal ,[object Object],[object Object],[object Object],[object Object],[object Object]
Some Interesting Ref ,[object Object],[object Object],[object Object]
HW ,[object Object],[object Object],[object Object]

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课堂讲义(最后更新:2009-9-25)

Editor's Notes

  1. Learn some patterns!
  2. 8*8, 12 pieces each side. The pieces are usually made of wood and are flat and cylindrical. Two kinds of pieces: king and men. The back side always initiates the game. Move: simple move, jump; Kings: When a piece becomes “kinged”? How the game ends: A player wins by capturing all of the opposing player's pieces, or by leaving the opposing player with no legal moves, or a player's piece jumps into the kings row.
  3. Active learning by querying teacher is much more data-efficient than random observation.
  4. Explain intuitively!
  5. Successor: after two moves. How to compute Successor ( b )?
  6. Meaning under Bayesian learning setting
  7. LMS: viewed as stochastic gradient-descent search
  8. *: This slide is from a presentation by Jaime Carbonell et al. in April 2007.
  9. See “The Discipline of Machine Learning” by Tom Mitchell 舆情分析
  10. Tell a story about Bioinformatics