SIT720.3 Model Appraisal in Supervised Learning
Evaluate model performance and learn how to find the best model.
Duration
3 weeksWeekly study
10 hours
SIT720.3 Model Appraisal in Supervised Learning
Find out more about the degree
Deakin’s Master of Data Analytics provides you skills to use data to learn insights and support decision making.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Differentiate supervised learning from unsupervised approach.
- Estimate the performance of different models to choose the best one.
- Implement model selection and compute relevant evaluation measure for a given problem.
Who is the course for?
Deakin University postgraduate students.
Who will you learn with?
Dr Karmakar is a Lecturer in Computer Science at the School of Information Technology. His research interests include Machine Learning, IoT in Healthcare and Biomedical Signal Processing.
Who developed the course?
Deakin University
Deakin University is one of Australia’s largest universities with more than 61,000 students and over 15,000 online.
Established
1974Location
Melbourne, AustraliaWorld ranking
Top 280Source: QS World University Rankings 2021
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- Experience the power of social learning, and get inspired by an international network of learners
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