Monday, 17 November 2014

Class 5 is now available

The lessons for Class 5, the last in our course, are now available on the course website:
https://weka.waikato.ac.nz/moredataminingwithweka

The 6 lessons in Class 5 addresses some important miscellaneous issues. Two are devoted to neural networks, both the simple Perceptron and multilayer Perceptrons — sometimes called “connectionist” models. Then we consider that perennial question, “how much data is enough?”, and show how to answer it using learning curves. Next we look at how to optimise the parameters of learning algorithms, and finally we return to the very beginning and re-visit the ARFF format, including some useful features that haven’t yet been encountered.

The post-course assessment is also now open. The videos, slides and transcripts will remain available at YouTube, Youku and the "Materials" site:

There is also a post-course survey for your opinions of the MOOC.

We aim to run both the introductory course “Data Mining with Weka” and “More Data Mining with Weka” again, but are not sure when. As for a possible third course, “Advanced Data Mining with Weka”, that’s still under consideration: there’s no schedule yet.


Please keep up the help on the course forum -- we greatly value your assistance.

cheers, and enjoy the remainder of the course!


Ian

Monday, 10 November 2014

Class 4 is now available

The six lessons for Class 4 are now available on the course website:

https://weka.waikato.ac.nz/moredataminingwithweka

In this class we'll learn about two topics: attribute selection and cost-sensitive classification. Automatic selection of an attribute subset is a powerful way of getting both good results and simpler, easily explainable, models from machine learning; indeed you will end up achieving stunning results with a tiny subset of attributes on a document classification task. And taking the costs of different kinds of error into account is essential in many practical applications.
Next week is the last. Pretty soon you will be an expert in data mining and the use of Weka!

cheers

Ian

Monday, 3 November 2014

Class 3 is now available

The six lessons for Class 3 are now available on the course website:

        
https://weka.waikato.ac.nz/moredataminingwithweka

After this week there are 2 weeks to go (classes 4 and 5).

The mid-course assessment is also now available. Do it when you have finished Class 2 (although it will remain open for the rest of the course). The final assessment will appear during week 5.
 
Check your Profile to ensure that your assessment marks have been recorded correctly. Also, check that the name in your Profile is the one you want on your Statement of Completion: as we will use that exact text for the Statements.

My goal is to enable you to learn as much as possible from this course, and I recognize that doing the assessments may not be a priority for you. However, our ability to mount follow-up MOOCs will depend on the success of this one as perceived by my University -- and the number of people who complete it successfully will be a key metric. Thus I urge you to do the assessments for my sake, if not your own :-)

cheers, and keep going! Weeks 3 and 4 are the central part of this course.
 
Ian

Tuesday, 28 October 2014

Class 2 is now available

The six lessons for Class 2 are now available on the course website:

https://weka.waikato.ac.nz/moredataminingwithweka

The mid-course assessment, following Class 2, is also available. Following that, there are 3 weeks to go (classes 3, 4 and 5).

The activities are a crucial part of the course: they're where most people will do their actual learning! However, they do not form part of the assessment, so don't be scared to get wrong answers. Also, some of the activities are pretty difficult and time-consuming. You don't necessarily need to actually complete them if you find that difficult on your computer, but you do need to understand what it is that you are supposed to do -- and why.

"More Data Mining with Weka" has been designed so that participants at many different levels can learn as much as possible – and complete the course successfully. You don't have to do the reading. All you must do to succeed are the mid-course and final assessments -- which you can try as often as you like. 

The mid-course assessment will remain open for the rest of the course; the final assessment will appear during week 5.

The videos and other course components for Classes 1 and 2 can be downloaded from the "Materials" site, in case you find that more convenient than viewing them online:

http://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/
  
cheers, and keep going!

 
Ian

Monday, 20 October 2014

Welcome to "More Data Mining with Weka".


Welcome to the course "More Data Mining with Weka". The six lessons for Class 1 are now available on the course website:
   
 
We will release classes 2, 3, 4, and 5 at approximately the same time (Monday noon NZ time) in the upcoming weeks, and send reminder announcements.
  
The course includes the following resources:
  • the Weka software
  • videos, one per lesson, on YouTube
  •  the videos include captions (English and Chinese), which can be turned on in YouTube
  •  we recommend viewing in HD format, again a YouTube control
  •  slides used in the videos (PDF format)
  •  text files containing transcripts of the videos
  •  activities that follow each lesson
  •  access to selected excerpts from Data Mining (3rd Edition) - plus you can buy a discounted copy from the publisher
  • mid-course assessment (opens 27 Oct, after the Week 2 content) 
  •  final assessment (opens 17 Nov, after Week 5 content)
  •  announcement forum, blog, twitter feed (available from the course website)
  •  discussion forum.
  
 for Chinese participants:
Some notes for participants:
  • work through the videos and activities at your own pace, in your own time
  • a new class appears every week; old classes will remain available until the course closes
  • in theory, you could leave all your learning to the last week (we don't recommend this!)
  • please subscribe to the announcement forum if you haven't already done so: this is the best way to stay up-to-date with the course (click on Membership and email settings to subscribe)
  • only the mid-course and final assessments count towards the Statement of Completion
  • please check your name and marks in the My Profile section of the website (this is the data we will use to produce your Statement of Completion)
  • during the videos, it may help to follow with Weka on your own computer ("click along with Ian")
  • the course should take 3–5 hours/week (4–6 hours if you do the optional reading)
  • a detailed syllabus is available:
     https://weka.waikato.ac.nz/moredataminingwithweka/assets/pdf/syllabus.pdf
 
A reminder that you can review material from the Data Mining with Weka course at:
 
 
You will be using Weka 3.6.11 throughout this course, so please download it and install it on your computer. This is a new version and it is *not* the same as the version used for the previous course. It’s available at both:

 
and 
 
Please help us by filling out the pre-course survey if you have not already done so.

 
By the time you have finished this course you will be an expert user of Weka and very knowledgeable about data mining generally. But it will take some effort, and motivation.
 
cheers, and good luck
Ian
 
 

Saturday, 11 October 2014

Enrolments open for "More Data Mining with Weka"

A new session of More Data Mining with Weka is open for enrolment and will start on 20 October 2014.

You do not have to have actually obtained a Statement of Completion for the introductory Data Mining with Weka MOOC to embark on More Data Mining with Weka, but you will certainly need equivalent knowledge.

In this second MOOC — even more than the first — you will do most of your learning in the Activities, and you should allow extra time for them because they’re a bit more challenging than before. Otherwise the format, and time commitment, is the same as the earlier course. Again, you do not have to complete the Activities to get a Statement of Completion: that’s based solely on your performance in the mid-class and end-of-class assessments.

There’s more information about the course in the trailer video: it’s informative, entertaining, and only about 3 minutes long.



 
A detailed syllabus is available.

By the time you have finished this course you will be an expert on the use of Weka. Enrol at:

https://weka.waikato.ac.nz/moredataminingwithweka
 
cheers
Ian

Monday, 11 August 2014

Final thoughts

The MOOC ends this week. It will remain open until the end of Monday, 11 August (all time zones). Statements of Completion will be emailed once the course closes. The course material will remain available up indefinitely at:
 

under a Creative Commons Attribution 3.0 Unported (CC-BY 3.0) license. Use it however you like! We've also added the music, as MP3 files, to the course material.

We are planning to re-run the follow-on course (More Data Mining with Weka): probably in September/October.
 
A survey about the course will be available for a few more days at:
 
 
Please fill it in! The response rate, and your feedback, as well as the course completion rate, will no doubt influence our ability to run future courses.
 
You can read more about Waikato's machine learning research group at:
 

 
Our publications are listed under the Publications tab
 
In the good old days, Weka was an externally funded research project. But that ended long ago. Both Weka and this MOOC are supported entirely by our Department and University. If you think these efforts are worthwhile and would like to support them financially, that would be lovely! Please do so here:
 
 
All donations are directed to research: no administrative charges are incurred.
 
Finally, how about coming to Waikato to study? Our Department's web site at
 

 
has links to our research groups, and to graduate student information (MSc and PhD).
 
Excuse the advertising :-). Hope you had fun with the MOOC. Don't forget the survey. See you next time!
 
cheers
 
Ian