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This is an archived syllabus from 2019-2020

DATA70121 2019-2020 syllabus

Course lecturer: Ke Chen

Additional staff: view all staff
Sem 1 PRACTICAL 2.25B Tue 10:00 - 12:00 -
Sem 1 Lecture Hum Bridge St HANSON ROOM Mon 15:00 - 17:00 -

Syllabus unknown to Campus Solutions

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Learning outcomes

Reading list

An Introduction to Statistics with PythonHaslwanter, Thomas9783319283159Springer2016
A first course in machine learning Rogers, Simon, 1979- author.9781498738484CRC Press2017
An Introduction to Statistical LearningJames, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert978-1-4614-7137-0Springer-Verlag2013
Exploratory Data AnalysisTukey, John Wilder9780201076165Pearson1977
Gaussian Processes for Machine LearningRasmussen, Carl Edward; Williams, Christopher K. I.0-262-18253-XMIT Press2006
The Elements of Statistical Learning: Data Mining, Inference, and PredictionHastie, Trevor; Tibshirani, Robert; Friedman, Jerome978-0-387-84858-7Springer-Verlag2009
A First Course in ProbabilityRoss, Sheldon9781292024929Pearson2013
Linear algebra : a modern introduction Poole, David, 1955- author.9781285463247Cengage Learning2015