Understanding Machine Learning
To illustrate how appropriate Machine Learning tree-based methods are used to analyze data and predict outcomes, using typical sizable medical, biological and environmental data sets, and how the accuracy of such predictions is assessed using corresponding super-data sets simulated from populations with known parameters using Monte Carlo methods.
Participants will need to bring their own laptop computers on which R software is (or can be) installed.
Participants will work through exercises using R programs and data sets, obtaining comprehensible graphs to explain results obtained from the analyses.
Participants should have reasonable computer keyboard skills and experience with software such as Microsoft Skills: Office, and some knowledge of basic quantitative methods equivalent to an undergraduate major in Statistics or Computer Science.
The programme is designed and delivered by;
Don McNeil, Emeritus Professor of Statistics, Macquarie University (Sydney), and Visiting Professor of Research Methodology & Data Science in the Department of Mathematics & Computer Science at Prince of Songkla University (Thailand).
Slides (available as PDF files) will be presented and explained by Professor Don McNeil and his team of local tutors, who will provide whatever individual assistance is required to each participant. Participants will work through the examples, and by the end of the course will have gained a sufficient understanding to demonstrate these and other similar examples to their colleagues.
9.00am - 5.00pm
Four 90-minute sessions separated by breaks of 30 minutes for morning and afternoon refreshments and one hour for lunch.
One-day workshop RM1500
RM1500 with a 50% discount for student with student card .
Royal Selangor Club, Dataran Merdeka
1 Jalan Raja
Kuala Lumpur, Selangor 52100
If interested please apply through the link below: