2AIT608-Machine Learning

Spring 2010

Dr Dimitris C. Dracopoulos


Lecture material   Tutorials   Assignments   Schedule   Syllabus   Contact   Textbook   Assessment  
The module will introduce a variety of techniques and algorithms in machine learning drawn from a number of different fields, such as neural networks, evolutionary computing, bayesian networks, statistics and control.
Calculate the marks you need in the examination to pass the module
Lecture Notes:   29/1     5/2    12/2     19/2     5/3     12/3     19/3    

Tutorials:   1    2    3    4    6    7    8   

Tutorials Solutions:   1    3    6   

Assignments:   1   


Note:  What do you do during the GIS week

Schedule

        Mo Tu We Th Fr Sa Su
Jan                  1  2  3
	 4  5  6  7  8  9 10
	11 12 13 14 15 16 17
	18 19 20 21 22 23 24
	25 26 27 28 29 30 31       first class
Feb      1  2  3  4  5  6  7       assignment published 
	 8  9 10 11 12 13 14
	15 16 17 18 19 20 21
	22 23 24 25 26 27 28
Mar      1  2  3  4  5  6  7
	 8  9 10 11 12 13 14
	15 16 17 18 19 20 21       spring break
	22 23 24 25 26 27 28
	29 30 31            
Apr               1  2  3  4
	 5  6  7  8  9 10 11
	12 13 14 15 16 17 18       assignment deadline; assignment vivas
	19 20 21 22 23 24 25       last lecture
	26 27 28 29 30             GIS week
May                     1  2                                  
	 3  4  5  6  7  8  9       GIS week

Syllabus

  1. Introduction. Supervised Learning.
  2. Introduction to Evolutionary Computing. Genetic Algorithms.
  3. Bayesian Networks.
  4. Unsupervised Learning and Clustering. k-Means Clustering.
  5. Support Vector Machines. Kernel methods.
  6. Nonparametric Techniques.
  7. Markov and Hidden Markov Models.
  8. Reinforcement Learning.
  9. Ant Systems.

Contact

Lectures: Friday 14:00-16:00, A5.5.

Dr Dimitris C. Dracopoulos, , A1.03 Maria Hewlett Building.

Office hours: Thursday 14:00-15:00 and Friday 12:00-13:00. Outside these hours email me, or see me to arrange a meeting.


Textbook

The main required textbook is Machine Learning, Tom M. Mitchell, McGraw Hill, 1997.

Additional references.


Assessment Process


Last modified: Thu Mar 18 16:25:30 GMT 2010