http://compneurosci.com/wiki/api.php?action=feedcontributions&feedformat=atom&user=Scott 2026-05-09T13:57:54Z User contributions MediaWiki 1.41.5 http://compneurosci.com/wiki/index.php?title=Useful_stuff&diff=336 2016-06-28T18:17:32Z

<p>Scott: /* How to do science */</p> <hr /> <div>A list of useful resources on the web.<br /> <br /> == General Math ==<br /> <br /> * [https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf Matrix cookbook]<br /> * [http://www.cs.toronto.edu/~urtasun/courses/CV/lecture02.pdf Image filtering, edge detection, etc. (Computer vision)]<br /> * [http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm Hough transform tutorial (Computer vision)]<br /> * [http://www.cse.unr.edu/~bebis/CS474/Handouts/WaveletTutorial.pdf Introductory tutorial on Wavelet transforms]<br /> ----<br /> <br /> == Statistics ==<br /> * [http://onlinestatbook.com/2/index.html Rice University online Stats book]<br /> * [http://www.leg.ufpr.br/~eder/Markov/Markov%20Chain%20Monte%20Carlo%20In%20Practice%20.pdf Markov Chain Monte Carlo in practice] - book<br /> * [http://statweb.stanford.edu/~tibs/stat315a/Supplements/bootstrap.pdf Bootstrap methods &amp; significance estimation]<br /> * how to do [[Media:Repeated_ANOVA_MATLAB.pdf | repeated measures ANOVA]] in Matlab (by Parisa)<br /> <br /> ----<br /> <br /> == How to do science ==<br /> * [http://klab.smpp.northwestern.edu/wiki/index.php5/Paper_Writing_101 Konrad's paper writing 101]<br /> * [http://collections.plos.org/ten-simple-rules PLoS CB - 10 simple rules collection]: a must read for everyone!<br /> * [http://colorbrewer2.org Colorbrewer]: great tool for selecting colour schemes on publications</div>

Scott http://compneurosci.com/wiki/index.php?title=Useful_stuff&diff=335 2016-06-28T18:17:10Z

<p>Scott: /* How to do science */</p> <hr /> <div>A list of useful resources on the web.<br /> <br /> == General Math ==<br /> <br /> * [https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf Matrix cookbook]<br /> * [http://www.cs.toronto.edu/~urtasun/courses/CV/lecture02.pdf Image filtering, edge detection, etc. (Computer vision)]<br /> * [http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm Hough transform tutorial (Computer vision)]<br /> * [http://www.cse.unr.edu/~bebis/CS474/Handouts/WaveletTutorial.pdf Introductory tutorial on Wavelet transforms]<br /> ----<br /> <br /> == Statistics ==<br /> * [http://onlinestatbook.com/2/index.html Rice University online Stats book]<br /> * [http://www.leg.ufpr.br/~eder/Markov/Markov%20Chain%20Monte%20Carlo%20In%20Practice%20.pdf Markov Chain Monte Carlo in practice] - book<br /> * [http://statweb.stanford.edu/~tibs/stat315a/Supplements/bootstrap.pdf Bootstrap methods &amp; significance estimation]<br /> * how to do [[Media:Repeated_ANOVA_MATLAB.pdf | repeated measures ANOVA]] in Matlab (by Parisa)<br /> <br /> ----<br /> <br /> == How to do science ==<br /> * [http://klab.smpp.northwestern.edu/wiki/index.php5/Paper_Writing_101 Konrad's paper writing 101]<br /> * [http://collections.plos.org/ten-simple-rules PLoS CB - 10 simple rules collection]: a must read for everyone!<br /> * [http://http://colorbrewer2.org Colorbrewer]: great tool for selecting colour schemes on publications</div>

Scott http://compneurosci.com/wiki/index.php?title=File:ML-ANNs.pdf&diff=316 2016-05-17T01:49:46Z

<p>Scott: Scott uploaded a new version of File:ML-ANNs.pdf</p> <hr /> <div>none</div>

Scott http://compneurosci.com/wiki/index.php?title=Machine_learning&diff=315 2016-05-17T01:44:10Z

<p>Scott: </p> <hr /> <div>Our Journal Club slides about ML will be posted here.<br /> <br /> * [[Media:MLintro.pdf | Machine learning introduction]] - Gunnar<br /> * [[Media:LinearRegression.pdf | Linear Regression]] - Sisi<br /> * [[Media:Linear_Classification.pdf | Linear Classification]] - Parisa<br /> * [[Media:MCMC.pdf | Markov Chain Montre Carlo]] - Gunnar<br /> * [[Media:Intro to PCA and ICA.pdf | Introduction to PCA and ICA]] - Cindy<br /> * Expectation Maximization - Brandon and Jonathan<br /> * Hidden Markov models<br /> * [[Media:ML-ANNs.pdf | Rate-based networks &amp; error back-propagation learning]] - Scott<br /> * Support Vector Machines - Jerry<br /> * Deep belief networks<br /> * Supervised vs. unsupervised learning<br /> <br /> ----<br /> <br /> == Machine learning books ==<br /> <br /> * [http://personal.disco.unimib.it/Vanneschi/McGrawHill_-_Machine_Learning_-Tom_Mitchell.pdf Tom Mitchell's book]<br /> * [http://alex.smola.org/drafts/thebook.pdf Smola &amp; Vishwanathan's book]<br /> * [http://ciml.info/dl/v0_8/ciml-v0_8-all.pdf Daume's book]<br /> * [https://www.cs.ubc.ca/~murphyk/MLbook/pml-intro-22may12.pdf Murphy's book]<br /> * [http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf Shalev-Shwartz &amp; Ben-David's book]<br /> * [http://ai.stanford.edu/~nilsson/MLBOOK.pdf Nilsson's book]<br /> * [http://www2.ift.ulaval.ca/~chaib/IFT-4102-7025/public_html/Fichiers/Machine_Learning_in_Action.pdf Harrington's book]<br /> * [http://www.deeplearningbook.org/ Ian Goodfellow, Yoshua Bengio, and Aaron Courville's book]<br /> <br /> ----</div>

Scott http://compneurosci.com/wiki/index.php?title=File:ML-ANNs.pdf&diff=314 2016-05-17T01:42:42Z

<p>Scott: none</p> <hr /> <div>none</div>

Scott http://compneurosci.com/wiki/index.php?title=Useful_stuff&diff=312 2016-04-26T17:57:40Z

<p>Scott: /* General Math */</p> <hr /> <div>A list of useful resources on the web.<br /> <br /> == General Math ==<br /> <br /> * [https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf Matrix cookbook]<br /> * [http://www.cs.toronto.edu/~urtasun/courses/CV/lecture02.pdf Image filtering, edge detection, etc. (Computer vision)]<br /> * [http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm Hough transform tutorial (Computer vision)]<br /> ----<br /> <br /> == Statistics ==<br /> * [http://onlinestatbook.com/2/index.html Rice University online Stats book]<br /> * [http://www.leg.ufpr.br/~eder/Markov/Markov%20Chain%20Monte%20Carlo%20In%20Practice%20.pdf Markov Chain Monte Carlo in practice] - book<br /> * [http://statweb.stanford.edu/~tibs/stat315a/Supplements/bootstrap.pdf Bootstrap methods &amp; significance estimation]<br /> * how to do [[Media:Repeated_ANOVA_MATLAB.pdf | repeated measures ANOVA]] in Matlab (by Parisa)<br /> <br /> ----<br /> <br /> == How to do science ==<br /> * [http://klab.smpp.northwestern.edu/wiki/index.php5/Paper_Writing_101 Konrad's paper writing 101]<br /> * [http://collections.plos.org/ten-simple-rules PLoS CB - 10 simple rules collection]: a must read for everyone!</div>

Scott http://compneurosci.com/wiki/index.php?title=Useful_stuff&diff=311 2016-04-26T17:55:05Z

<p>Scott: /* General Math */</p> <hr /> <div>A list of useful resources on the web.<br /> <br /> == General Math ==<br /> <br /> * [https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf Matrix cookbook]<br /> * [http://www.cs.toronto.edu/~urtasun/courses/CV/lecture02.pdf Computer vision (image filtering, edge detection, Hough transform, etc.)]<br /> ----<br /> <br /> == Statistics ==<br /> * [http://onlinestatbook.com/2/index.html Rice University online Stats book]<br /> * [http://www.leg.ufpr.br/~eder/Markov/Markov%20Chain%20Monte%20Carlo%20In%20Practice%20.pdf Markov Chain Monte Carlo in practice] - book<br /> * [http://statweb.stanford.edu/~tibs/stat315a/Supplements/bootstrap.pdf Bootstrap methods &amp; significance estimation]<br /> * how to do [[Media:Repeated_ANOVA_MATLAB.pdf | repeated measures ANOVA]] in Matlab (by Parisa)<br /> <br /> ----<br /> <br /> == How to do science ==<br /> * [http://klab.smpp.northwestern.edu/wiki/index.php5/Paper_Writing_101 Konrad's paper writing 101]<br /> * [http://collections.plos.org/ten-simple-rules PLoS CB - 10 simple rules collection]: a must read for everyone!</div>

Scott http://compneurosci.com/wiki/index.php?title=Useful_stuff&diff=310 2016-04-26T17:54:18Z

<p>Scott: /* General Math */</p> <hr /> <div>A list of useful resources on the web.<br /> <br /> == General Math ==<br /> <br /> * [https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf Matrix cookbook]<br /> * [http://www.cs.toronto.edu/~urtasun/courses/CV/lecture02.pdf Computer vision and image filtering]<br /> ----<br /> <br /> == Statistics ==<br /> * [http://onlinestatbook.com/2/index.html Rice University online Stats book]<br /> * [http://www.leg.ufpr.br/~eder/Markov/Markov%20Chain%20Monte%20Carlo%20In%20Practice%20.pdf Markov Chain Monte Carlo in practice] - book<br /> * [http://statweb.stanford.edu/~tibs/stat315a/Supplements/bootstrap.pdf Bootstrap methods &amp; significance estimation]<br /> * how to do [[Media:Repeated_ANOVA_MATLAB.pdf | repeated measures ANOVA]] in Matlab (by Parisa)<br /> <br /> ----<br /> <br /> == How to do science ==<br /> * [http://klab.smpp.northwestern.edu/wiki/index.php5/Paper_Writing_101 Konrad's paper writing 101]<br /> * [http://collections.plos.org/ten-simple-rules PLoS CB - 10 simple rules collection]: a must read for everyone!</div>

Scott