- Docente: Renato Campanini
- Credits: 6
- SSD: FIS/07
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Physics (cod. 8025)
Learning outcomes
To learn and to apply statistical methods for data analysis and pattern recognition methods.
Course contents
Probability,Random Variables,Probability density Function,Cumulative Function,Bayes Formula,moments of a distribution,statistical tests,parametric correlation,non parametric correlation,modeling of data,introduction to pattern recognition,features reduction and features extraction,genetic algorithms,simulated annealing,training and test,k fold cross validation,Parzen windows,KNN,neural networks,peceptron,multilayer perceptron,RBF neural networks,Support Vector Machine,Cluster analysis.Deep learning.
Readings/Bibliography
Numerical recipes.The art of scientific computing,3rd edition (chapters 14 and 15) www.nr.com
B.R.Martin,"Statistics for Physical Sciences,An introduction",Elsevier,2012
G.Bohm,G.Zech " Introduction to statistics and data analysis for physicist" www-library.desy.de/preparch/books/vstamp_engl.pdf
Statistics course Home Page,Glenn Cowan:
http://www.pp.rhul.ac.uk/~cowan/stat_course.html
prof. Ricardo Gutierrez Osuna Lectures on Pattern Recognition
http://research.cs.tamu.edu/prism/lectures.htm
"Learning from data,a short course",Yaser S.Abu-Mostafa et al, AMLbook.com,2012
Free Online book on deep neural networks at http://www.deeplearningbook.org
Teaching methods
Class lectures.
Assessment methods
The student can choice two written midterm assessments or a final written total test. At the end the student will present a computer program on course topics or related to course topics.
Teaching tools
First semester period,Dipartimento di Fisica,Viale B.Pichat 6/2
Technical support material for the computer program is available at:
Google site uniboimage http://sites.google.com/site/uniboimage/
Good online course on Convolutional Neural networks at: http://cs231n.stanford.edu/Office hours
See the website of Renato Campanini