Instructor
- Dr. William
Sverdlik
( wsverdlik@emich.edu )
Office
- 512 E
Phone
487-7081
Office
Hours - Walk In (office): MW 9:00-9:50, MW 2:00-3:15 w 4:30-5:30. Other times by appointment
If these times don't work out for you,
let me know. We'll figure out some other time. Please note that these
times may change.
Text: No Text. You need to take good notes!! More on this later....
Software: WEKA
(it's free!)
Cheating:
It's
not a good thing to do. It's
counter-productive, you don't learn anything, and most importantly, it
violates University policy.
Cheating is defined as presenting any work as your own that you
obtained from some other source. This
includes copying programs and copying on quizzes.
If you are having problems with the class, come see me!
OK. What about books, references, etc ?
Good question! You must take good notes. In fact, you must take notes for the entire class!! Here's how it will work:
Every week, there will be a note taker and a reviewer. The note
taker takes class notes for both Monday and Wednesday classes. Then,
the note taker passes along his/her notes to the reviewer by Wednesday
night at the latest.
The reviewer reviews, edits and corrects the notes. Finally, the
reviewer will email me the final version of the weeks notes by no later
than Saturday evening. I will post these notes on the web before class
the following Monday.
Note
Taker
Reviewer
Colvin,
Rayaan
Browning, Nicholas
Browning,
Nicholas
Bouzid, Abderraouf
Bouzid, Abderraouf
Mylavarapu, Deepthi
Mylavarapu, Deepthi
Nettem, Sindhura Lakshmi
Nettem, Sindhura
Lakshmi
Nijhawan, Dhwani Sunil
Nijhawan, Dhwani
Sunil
Uddur Gowrishankar, Manjushri
Uddur Gowrishankar,
Manjushri Arif, Muhammad Sohaib
Data Sets!!
- WEKA Datasets. Note:
these are already in ARFF format
- University of California Irvine Data
Repository (KDD). Well known collection!
- University of California Irvine
Data Repository (ML)
- Federal Statistics. You will have
to do some work to create the data files, but there are interesting
things to find
- Major League Baseball. You can
find statistics for any major league sport! Try a google search.
Group
Presentations (find something you like or suggest something else)
Let's put a due date of Monday October 1 on a 2-4 page proposal.
What will you do, what data will
be gathered,
who is involved ?
Final Project Presentations
Your talk should last approximately 20 minutes and allow
another 5 minutes for questions. Remember, you must submit a paper
summarizing your results, as well as citing any references. It's a small class, we will discuss team size.
Here's a partial list of talks from previous years:
- Logistic Regression and Email Spam
- Lunar Cycles and the Stock Market
- Mushroom Classification
- Social Networks (structure)
- Abandoned Objects in Video Feeds
Papers:
HOMEWORK 1 - Due Monday October 8:
Analyze
some data !
HOMEWORK 2 - Due Monday October 15:
Read the following paper sand submit a 1-2 page summary of each:
What's
the difference
between Data Mining and Statistics ? Read this and find out .
One-Rule
Rules! Forget these
silly decision trees, one level suffices??
HOMEWORK 3 a)- Due Monday October 29:
Read the following
papers and submit a 1-2 page summary . Be prepared to discuss in class
Nepotistic
Links!! (A bit
outdated , but interesting!!)
HOMEWORK 3b) - Due Monday October 29
1-2 page write up for your final project. Be prepared to present and discuss.