Machine Learning and Pervasive Computing (Summer 2015): Difference between revisions
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** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]] | ** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]] | ||
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2 | * Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2 | ||
** [[Media:ML_02.pdf | Rule-based (pdf)]] | |||
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3 | * Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3 | ||
** [[Media:ML_03.pdf | Decision tree (pdf)]] | |||
** [[Media:ML_practical_01.pdf | Projects meeting (Group allocation) (pdf)]] | |||
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4 | * Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4 | ||
** [[Media:ML_04.pdf | Regression (pdf)]] | |||
** [[Media:MLnotes_04.pdf | Lecture notes (Regression) (pdf)]] | |||
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture | * Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture | ||
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5 | * Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5 | ||
Revision as of 10:32, 4 May 2015
Details
| Workload/ECTS Credits: | 180h, 5 ECTS |
| Module: | M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke; ITIS: 3.33 |
| Lecturer: | Stephan Sigg |
| Teaching assistant: | -- |
| Time: | Mondays, 08.15 - 09.45.; Exercise: (bi-weekly) |
| Place: | IfI 3.101 |
| UniVZ | [1] |
Course Overview
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.
- Course topics
- Introduction to Machine learning
- Features and feature extraction
- Feature subset selection
- Performance metrics
- Rule-based learning
- Regression approaches
- High dimensional data
- Artificial Neural Network learning
- Probabilistic approaches
- Topic models
- nearest neighbour methods
- Unsupervised learning and Clustering
- Anomaly detection
- Recommender systems
Schedule
- Monday, April 13th, 2015, 08.15 - 09.45: Lecture 1
- Monday, April 20th, 2015, 08.15 - 09.45: Lecture 2
- Monday, April 27th, 2015, 08.15 - 09.45: Lecture 3
- Monday, May 04th, 2015, 08.15 - 09.45: Lecture 4
- Monday, May 11th, 2015, 08.15 - 09.45: No lecture
- Monday, May 18th, 2015, 08.15 - 09.45: Lecture 5
- Monday, May 25th, 2015, 08.15 - 09.45: No lecture
- Monday, June 01st, 2015, 08.15 - 09.45: Lecture 6
- Monday, June 08th, 2015, 08.15 - 09.45: Lecture 7
- Monday, June 15th, 2015, 08.15 - 09.45: Lecture 8
- Monday, June 22nd, 2015, 08.15 - 09.45: Lecture 7
- Monday, June 29th, 2015, 08.15 - 09.45: Lecture 10
- Monday, July 06th, 2015, 08.15 - 09.45: Lecture 11
- Monday, July 13th, 2015, 08.15 - 09.45: Lecture 12
Requirements
- Active participation in the exercises required.
Reading List
- Pervasive and Ubiquitous Computing
- Activity recognition