Students are reminded that notes provided on this site are intended to form summary material only and are not intended to be a substitute for attending lectures or further reading on the subject.
My slides are not Lecture Notes
Students should download the notes to your own device. The notes are a living artifact and will evolve from semester to semester. It cannot be guaranteed that the notes will be available after the end of a semester.
Important: You will need to perform additional reading and research (outside of class time) to complete the various lab exercises and to explore the topics covered in more detail.
|Introduction to Data Mining, Machine Learning and Data Science|
|Data Mining / Data Science Life-cycle, Why it is different and the challenges|
|Descriptive Analytics and Preparing Data|
|Exploring Text & Basics of Text Mining|
|Association Rule Analysis|
|No Class this week. Catch up week
Self study, revision, complete all exercises, etc
|Finish Classification – see previous weeks notes|
|The EU GDPR and Machine Learning/Data Science|
| Deployment issues
Automated & Autonomous Data Science
Other Data Mining/Data Science Project topics
|Assignment Due at end of this week.
No Class – Use the class and lab time to work on completing your assignment
I will endeavor to have assignment marks and a short feedback comment entered into WebCourses before Christmas.
If you would like to schedule a face-to-face feedback session in early January, email me.
|Study & Revision
No ClassAssignment marking and feedback (by end of this week or end of next week)