Friday, 11 April 2014

Enrolments open for "More Data Mining with Weka"


More Data Mining with Weka is finally open for enrolment, and will begin as scheduled on Mon 28 April. I apologise for the delay, and for missing the opening date on our website; life is more complicated than you can possibly imagine. (For example, our unseasonably long, lovely, warm, extended summer here in New Zealand meant that in the initial takes of the "trailer" video my voice was drowned out by crickets chirping.)

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

 
 
 

Tuesday, 8 April 2014

All good things come to an end

The MOOC ended last week with Class 5. It will remain open until the end of Monday, 13 April (all time zones). Statements of Completion will be emailed a few days after 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 Data Mining with Weka later this year (possibly September). And your enthusiastic feedback has encouraged us to prepare a more advanced version, More Data Mining with Weka, which will commence on 28 April. 
 
A survey about the course is available 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 mount future courses.
 
We have very much enjoyed giving this MOOC. And we have learned a lot in the process! We are preparing a report on the experience of running these MOOCs and we will post a draft to WekaMOOC-announce.
 
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 again!  perhaps in More Data Mining with Weka.
 
cheers
Ian

Monday, 31 March 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/dataminingwithweka/course

Class 5 broadens out to consider some more general issues. It's a short week, with just four topics: 
  • 5.1: The data mining process
  • 5.2: Pitfalls and pratfalls
  • 5.3: Data mining and ethics
  • 5.4: Summary
 
The post-course assessment opens on 2nd April. Everything will remain open until 13th April, when the course will be closed.
 
We will also ask you to complete a survey for your opinions of the MOOC. 
 
We will probably run the course again, perhaps in late winter-- I mean NZ winter! -- maybe in September 2014. And don't forget the follow-up MOOC  ("More Data Mining with Weka") that covers topics we couldn't fit into this course. More news on that very soon.

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

cheers, and enjoy the remainder of the course!

Ian

Monday, 24 March 2014

Class 4 is now available

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

 
This class introduces some more advanced methods and techniques. The topics are:
  • 4.1: Classification boundaries
  • 4.2: Linear regression
  • 4.3: Classification by regression
  • 4.4: Logistic regression
  • 4.5: Support vector machines
  • 4.6: Ensemble learning
The last three are high-performance contemporary algorithms. I aim to give you a conceptual understanding of what they do and how they work, but not the gory details. You have to learn to live and work in a world where you don't understand everything. You will see some mathematics in Lessons 4.2, 4.3 and 4.5. But don't worry: I'll explain it, and anyway you don't have to fully understand the math. 

Next week is the last. And it's short: Class 5 has only 4 lessons, not the usual 6. And it's more relaxed: no math at all.
 
It's great to see so many people helping each other on the course forum. Please keep it up -- we greatly value your assistance.
 
Ian

Monday, 17 March 2014

Class 3 is now available


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

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

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

It's good to see so many people having fun with the course!

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.

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

Monday, 10 March 2014

Class 2 is now available

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

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


Following that, there are 3 weeks to go (classes 3, 4 and 5).

It's good to see so many people having fun with the course! 
 
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.

"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 become available this Friday (March 14) and remain open for the rest of the course. The final assessment will appear during week 5.

We plan to put out a short (optional) update video soon.

cheers, and keep going!
Ian

Monday, 3 March 2014

Welcome to Data Mining with Weka

Welcome to the course "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; Lesson 1.2 gives downloading instructions
  •  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 14 March, at the end of Week 2) 
  •  final assessment (opens 2 April, during Week 5)
  •  announcement forumblogtwitter feed (available from the course website)
  •  discussion forum: Teaching Assistants will be available to help you. Primarily this will be in English but some of the Assistants have said they can also help in Spanish, Portuguese and Thai.

for Chinese participants:
  •  videos on Youku
    • one version with captions in Chinese (another with English captions is available on our Youku channel)

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
  • only the mid-course and final assessments count towards the Statement of Completion
  •  feel free to install Weka in advance, but please ensure that you have version 3.6.10
  •  if you already know something about Weka, feel free to skip the first class (or two)
  •  during the videos, it may help to follow with Weka on your own computer ("click along with Ian")
  •  the course should take 2–3 hours/week (3–4 hours if you do the optional reading).
 
Please help us by filling out the pre-course survey if you have not already done so.
cheers, and good luck
 
Ian