Technology Forge

Data Mining and Machine Learning

Lectures and Homework 


Lecture Links -

 

1.        Introduction:

·         Lecture 1 as .ppt

·         Homework 1 

2.        Decision Trees:

·         Lecture 2 as .ppt 

·         Lecture 2 as .zip 

·         Homework 2 

3.        Clustering:

·         Lecture 3 as .ppt 

·         Lecture 3 as .zip 

·         Homework 3 

4.       Association Rules:

·         Lecture 4 as .ppt 

·         Lecture 4 as .zip 

·         Homework 4 

5.        Neural Networks

·         Lecture 5 as .ppt 

·         Lecture 5 as .zip 

·         Homework 5 

6.       Genetic Algorithms – 1 

·         Lecture 6 as .ppt 

·         Lecture 6 as .zip 

·         Homework 6  

7.       Genetic Algorithms – 2 

·         Lecture 7 as .ppt 

·         Lecture 7 as .zip 

·         Homework 7 

 


Lectures

 

The lectures linked here provide a basic introduction to some key aspects of data mining and machine learning technology and applications.  The primary goals of these lectures and their associated homework are to provide students with a basis for:  1) pursuing in-depth knowledge of data mining and machine learning technology, and/or 2) managing engineers and projects which employ these technologies.

 

These lectures are augmented by a series of tutorials which provide students with the ability to experiment with data mining and machine learning tools.  Students taking these lectures as part of a course also participate on student project teams which apply these technologies to real-world problems.

 


Homework

 

Each lecture is accompanied by homework designed to reinforce the learning goals of the lecture.  For students taking these lectures as part of a course, homework will be prepared as PowerPoint presentations which students will send to the instructor in the designated manner.  Each homework has detailed instructions on what to include in the PowerPoint document submitted by the student.  Solutions to the homework (where applicable) will be provided by the instructor.

 


Running the Lectures

 

The links above provide access to the lectures and homework.  There are several options for running the lectures:

 

1.       Click on the lecture .ppt link and “Save” the .ppt to your computer.  This allows you to view and print the presentation and speaker notes, but not listen to the audio narration.  The speaker notes and the audio are the same.

 

2.       Click on the lecture .ppt link and “Run” the presentation.  This allows you to play the audio, but you cannot see the speaker notes.  The audio narration only runs when you are on-line.

 

 

3.       Click on the .zip link and “Save” to your computer.  This saves .ppt lecture document and all the audio files to your computer.  You can view the slide show with audio, and print out the slides and speaker notes.

 


Lecture Developers

 

The primary author of the Lectures provided here is Mark Polczynski, Principal of The Technology Forge.  Assistance was provided by Professor Andrzej Kochanski

and Professor Marcin Perzyk of the Faculty of Production Engineering at the Warsaw University of Technology in Warsaw, Poland.  Lectures were tested by students of Professors Kochanski and Perzyk, and students from the College of Engineering, Marquette University, Milwaukee, Wisconsin, USA.

 


Copyright 2009, Mark Polczynski, The Technology Forge

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