http://compneurosci.com/wiki/api.php?action=feedcontributions&feedformat=atom&user=Josh 2026-05-09T13:57:56Z User contributions MediaWiki 1.41.5 http://compneurosci.com/wiki/index.php?title=Machine_learning&diff=328 2016-06-13T19:28:20Z

<p>Josh: </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 /> * [[Media:HMM-parisa.pdf | Hidden Markov Models]] - Parisa<br /> * [[Media:KalmanFilter.pdf | Kalman filter]] - Josh<br /> * [[Media:ML-ANNs.pdf | Rate-based networks &amp; error back-propagation learning]] - Scott<br /> * [[Media:Support Vector Machines (SVM).pdf | 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>

Josh http://compneurosci.com/wiki/index.php?title=File:KalmanFilter.pdf&diff=327 2016-06-13T19:27:42Z

<p>Josh: Josh&#039;s talk about Kalman filter.</p> <hr /> <div>Josh's talk about Kalman filter.</div>

Josh http://compneurosci.com/wiki/index.php?title=Machine_learning&diff=326 2016-06-13T19:24:58Z

<p>Josh: </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 /> * [[Media:HMM-parisa.pdf | Hidden Markov Models]] - Parisa<br /> * [[Media:KalmanFilterPresent.pdf | Kalman filter]] - Josh<br /> * [[Media:ML-ANNs.pdf | Rate-based networks &amp; error back-propagation learning]] - Scott<br /> * [[Media:Support Vector Machines (SVM).pdf | 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>

Josh