This is an archived syllabus from 2019-2020
DATA70132 2019-2020 syllabus
Course lecturer: Angelo Cangelosi
Additional staff: view all staff
Additional staff: view all staff
Timetable
| Semester | Event | Location | Day | Time | Group |
|---|---|---|---|---|---|
| Sem 2 | PRACTICAL | 1.8 | Wed | 11:00 - 13:00 | - |
| Sem 2 | Lecture | Mansfield Cooper 1.02 | Mon | 16:00 - 18:00 | - |
Syllabus unknown to Campus Solutions
No information is held in Campus Solutions for this syllabus.
Learning outcomes
Reading list
| Title | Author | ISBN | Publisher | Year |
|---|---|---|---|---|
| Pattern Recognition and Machine Learning | Bishop, Christopher | 9780387310732 | Springer-Verlag New York | 2006 |
| An Introduction to Statistical Learning | James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert | 978-1-4614-7137-0 | Springer-Verlag | 2013 |
| A First Course in Machine Learning | Rogers, Simon; Girolami, Mark | 9781498738484 | Chapman and Hall/CRC | 2016 |
| Handbook of Markov Chain Monte Carlo | null | 9781420079418 | Chapman and Hall/CRC | 2011 |
| Linear algebra : a modern introduction | Poole, David, 1955- author. | 9781285463247 | Cengage Learning | 2015 |
| A First Course in Probability | Ross, Sheldon | 9781292024929 | Pearson | 2013 |