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Machine Learning School
COURSE DETAILS
PLANNING
ANALYSIS
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TLA details
Name
Lecture content
Description
Content: – Ensembles; – Homogeneous, heterogeneous; – Independent models (e.g. bagging), dependent models (e.g. boosting); – Bagging, random forests; – Boosting: – AdaBoost; – Gradient boosting; – Stacking;
Learning type
Acquisition
Description
Learning through acquisition is what learners are doing when they are listening to a lecture or podcast, reading from books or websites, and watching demos or videos.
Example usage
Reading books, papers, listening to teacher presentations face-to-face, lectures, watching animations, videos,…
Workload
120
Activity delivery
Online
On-site
Hybrid
Synchronous
Asynchronous
Teacher-present
Teacher not present
Collaboration
Work in groups
Feedback
Assessment
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