
COMPX310-19A (HAM)
Machine Learning
15 Points
Staff
Convenor(s)
Bernhard Pfahringer
4041
G.1.24
To be advised
bernhard.pfahringer@waikato.ac.nz
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Librarian(s)
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- Calling +64 7 838 4466 select option 1, then enter the extension.
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Paper Description
Paper Structure
Learning Outcomes
Students who successfully complete the course should be able to:
Assessment
Assessment Components
The internal assessment/exam ratio (as stated in the University Calendar) is 50:50. The final exam makes up 50% of the overall mark.
Required and Recommended Readings
Recommended Readings
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow (2019)
or
Hands-on Machine Learning with Scikit-Learn andTensorFlow (2017)
and
The Hundred-Page Machine Learning Book (2019)
Online Support
Workload
Linkages to Other Papers
Prerequisite(s)
Prerequisite papers: COMP103 or COMPX101 or ENGG182 or ENGEN103 and STAT121 or STATS121
Restriction(s)
Restricted papers: COMP316