Blohm Lab Wiki - User contributions [en-ca]

Blohm Lab Wiki:Matlab

2016-10-05T21:40:15Z

Jerry:

A series of Matlab resources and tutorials

== Tutorials ==

* [http://www.mathworks.com/moler/exm/chapters.html?refresh=true Moler's tutorials]
* [[Media:Matlab_intro.pdf | Scott Murdison's compilation]]
* [[Media:Curve_Fitting.pdf | Jerry Jeyachandra's Curve Fitting Tutorial]]
**[[Media:CurveFit_Tutorial.zip | Curve Fitting Scripts]]

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== Matlab resources ==
(see also [[Software]] for more Matlab-related stuff!)

File:CurveFit Tutorial.zip

2016-10-05T21:39:21Z

Jerry:

File:Curve Fitting.pdf

2016-10-05T21:38:45Z

Jerry:

Blohm Lab Wiki:Matlab

2016-10-05T21:38:11Z

Jerry:

A series of Matlab resources and tutorials

== Tutorials ==

* [http://www.mathworks.com/moler/exm/chapters.html?refresh=true Moler's tutorials]
* [[Media:Matlab_intro.pdf | Scott Murdison's compilation]]

== MATLAB Tutorials ==
* [[Media:Curve_Fitting.pdf | Jerry Jeyachandra's Curve Fitting Tutorial]]
**[[Media:CurveFit_Tutorial.zip | Curve Fitting Scripts]]

----

== Matlab resources ==
(see also [[Software]] for more Matlab-related stuff!)

Software

2016-06-07T14:15:36Z

Jerry:

This page contains useful information about research software used in the lab.

== General useful software ==
* [http://www.ghisler.com/ Total Commander] (free) - file manager
* [https://winscp.net/eng/index.php WinSCP] (free) - file transfer tool
* [http://www.texniccenter.org/ TeXnicCenter] (free) - LateX editor
* [https://www.mendeley.com/ Mendeley reference manager] (free) - manage references & automatic bibliography generator for MSWord, LibreOffice and BibTeX
* [http://www.seamonkey-project.org/ SeaMonkey] (free) - internet application suite including web editor

== Vector graphics ==
* [http://www.coreldraw.com/ca/ CorelDraw] - ask Gunnar for installation CD
* [https://inkscape.org/en/ Inkscape] (free)

== Statistics ==
* SPSS - general purpose
* [https://www.r-project.org/ R] (free) - general purpose
* [http://psignifit.sourceforge.net/ psignifit] (free) - psychometric function fitting

== Imaging analysis ==
* [http://www.fil.ion.ucl.ac.uk/spm/ SPM] (free) - general purpose (fMRI oriented)
* [http://www.lcs.poli.usp.br/~baccala/pdc/CRCBrainConnectivity/AsympPDC/ PDC] (free) - partially directed coherence analysis
* [http://www.fieldtriptoolbox.org/ FieldTrip] (free) - general purpose (EEG/MEG oriented)
* [http://cheynelab.utoronto.ca/brainwave Brainwave] (free) and [http://cheynelab.utoronto.ca/httpdoc/Brainwave_v3.1_Documentation_6October_2015_final.pdf documentation] - MEG analysis toolbox
* [http://brainvis.wustl.edu/wiki/index.php/Caret:Download CARET] (free) - anatomical reconstruction toolkit for structural and anatomical data ([http://prefrontal.org/blog/2009/04/using-caret-for-fmri-visualization/ simple tutorial])

== Machine Learning ==
* [http://www.cs.ubc.ca/~murphyk/Software/Kalman/kalman.html Kevin Murphy's Kalman filter toolbox] (free)
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/oldfiles/index-1.0.html libSVM] - Support Vector Machine Library

Software

2016-06-07T14:14:27Z

Jerry:

Software

2016-06-07T14:14:15Z

Jerry:

Software

2016-06-06T19:34:44Z

Jerry:

Machine learning

2016-06-06T19:29:02Z

Jerry:

Our Journal Club slides about ML will be posted here.

* [[Media:MLintro.pdf | Machine learning introduction]] - Gunnar
* [[Media:LinearRegression.pdf | Linear Regression]] - Sisi
* [[Media:Linear_Classification.pdf | Linear Classification]] - Parisa
* [[Media:MCMC.pdf | Markov Chain Montre Carlo]] - Gunnar
* [[Media:Intro to PCA and ICA.pdf | Introduction to PCA and ICA]] - Cindy
* Expectation Maximization - Brandon and Jonathan
* [[Media:HMM-parisa.pdf | Hidden Markov Models]] - Parisa
* [[Media:ML-ANNs.pdf | Rate-based networks & error back-propagation learning]] - Scott
* [[Media:Support Vector Machines (SVM).pdf | Support Vector Machines]] - Jerry
* Deep belief networks
* Supervised vs. unsupervised learning

----

== Machine learning books ==

* [http://personal.disco.unimib.it/Vanneschi/McGrawHill_-_Machine_Learning_-Tom_Mitchell.pdf Tom Mitchell's book]
* [http://alex.smola.org/drafts/thebook.pdf Smola & Vishwanathan's book]
* [http://ciml.info/dl/v0_8/ciml-v0_8-all.pdf Daume's book]
* [https://www.cs.ubc.ca/~murphyk/MLbook/pml-intro-22may12.pdf Murphy's book]
* [http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf Shalev-Shwartz & Ben-David's book]
* [http://ai.stanford.edu/~nilsson/MLBOOK.pdf Nilsson's book]
* [http://www2.ift.ulaval.ca/~chaib/IFT-4102-7025/public_html/Fichiers/Machine_Learning_in_Action.pdf Harrington's book]
* [http://www.deeplearningbook.org/ Ian Goodfellow, Yoshua Bengio, and Aaron Courville's book]

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Machine learning

2016-06-06T19:28:41Z

Jerry:

Our Journal Club slides about ML will be posted here.

* [[Media:MLintro.pdf | Machine learning introduction]] - Gunnar
* [[Media:LinearRegression.pdf | Linear Regression]] - Sisi
* [[Media:Linear_Classification.pdf | Linear Classification]] - Parisa
* [[Media:MCMC.pdf | Markov Chain Montre Carlo]] - Gunnar
* [[Media:Intro to PCA and ICA.pdf | Introduction to PCA and ICA]] - Cindy
* Expectation Maximization - Brandon and Jonathan
* [[Media:HMM-parisa.pdf | Hidden Markov Models]] - Parisa
* [[Media:ML-ANNs.pdf | Rate-based networks & error back-propagation learning]] - Scott
[[Media:Support Vector Machines (SVM).pdf | Support Vector Machines]] - Jerry
* Support Vector Machines - Jerry
* Deep belief networks
* Supervised vs. unsupervised learning

----

== Machine learning books ==

* [http://personal.disco.unimib.it/Vanneschi/McGrawHill_-_Machine_Learning_-Tom_Mitchell.pdf Tom Mitchell's book]
* [http://alex.smola.org/drafts/thebook.pdf Smola & Vishwanathan's book]
* [http://ciml.info/dl/v0_8/ciml-v0_8-all.pdf Daume's book]
* [https://www.cs.ubc.ca/~murphyk/MLbook/pml-intro-22may12.pdf Murphy's book]
* [http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf Shalev-Shwartz & Ben-David's book]
* [http://ai.stanford.edu/~nilsson/MLBOOK.pdf Nilsson's book]
* [http://www2.ift.ulaval.ca/~chaib/IFT-4102-7025/public_html/Fichiers/Machine_Learning_in_Action.pdf Harrington's book]
* [http://www.deeplearningbook.org/ Ian Goodfellow, Yoshua Bengio, and Aaron Courville's book]

----

File:Support Vector Machines (SVM).pdf

2016-06-06T19:28:26Z

Jerry:

Useful stuff

2016-05-16T17:08:18Z

Jerry: /* General Math */

A list of useful resources on the web.

== General Math ==

* [https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf Matrix cookbook]
* [http://www.cs.toronto.edu/~urtasun/courses/CV/lecture02.pdf Image filtering, edge detection, etc. (Computer vision)]
* [http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm Hough transform tutorial (Computer vision)]
* [http://www.cse.unr.edu/~bebis/CS474/Handouts/WaveletTutorial.pdf Introductory tutorial on Wavelet transforms]
----

== Statistics ==
* [http://onlinestatbook.com/2/index.html Rice University online Stats book]
* [http://www.leg.ufpr.br/~eder/Markov/Markov%20Chain%20Monte%20Carlo%20In%20Practice%20.pdf Markov Chain Monte Carlo in practice] - book
* [http://statweb.stanford.edu/~tibs/stat315a/Supplements/bootstrap.pdf Bootstrap methods & significance estimation]
* how to do [[Media:Repeated_ANOVA_MATLAB.pdf | repeated measures ANOVA]] in Matlab (by Parisa)

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== How to do science ==
* [http://klab.smpp.northwestern.edu/wiki/index.php5/Paper_Writing_101 Konrad's paper writing 101]
* [http://collections.plos.org/ten-simple-rules PLoS CB - 10 simple rules collection]: a must read for everyone!