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-====== Machine Learning and Python resources ======
+~~NOTOC~~
-===== Machine Learning Groups, Societies, Journals and Conferences =====
+====== Python and Machine Learning resources ======
-[[https://groups.google.com/forum/?fromgroups#!forum/ml-news|Machine Learning News Google Group]], join this very active group, which includes postings of jobs in machine learning.
+===== ML open source software and data =====
-[[http://machinelearning.org/|The International Machine Learning
+  * The [[http://archive.ics.uci.edu/ml/index.html | UCI]] machine learning data repository.
-Society]] and its [[http://machinelearning.org/icml.html|International
+  * [[http://mloss.org/software/|MLOSS]]:  machine learning open source software repository.
-Conference on Machine Learning]]
+  * [[http://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html | Are we there yet?]]  recent progress on challenging computer vision datasets.
+  * [[http://www.kaggle.com/competitions | ML competitions]].
-[[http://jmlr.csail.mit.edu/|Journal of Machine Learning Research]],
-free, on-line
-[[http://www.mitpressjournals.org/loi/neco|Neural Computation]]
+===== Python =====
-[[http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1098-111X|International
-Journal of Intelligent Systems]]
-[[http://nips.cc/|Neural Information Processing Systems]] conference
-(check out their promotional video!)
-[[http://academic.research.microsoft.com/RankList?entitytype=4&topDomainID=2&subDomainID=6&last=0&start=1&end=100|other
-machine learning journals]]
-[[http://academic.research.microsoft.com/RankList?entitytype=3&topDomainID=2&subDomainID=6&last=0&start=1&end=100|other
-machine learning conferences]]
-===== Remote Access to CS Department Machines =====
-See the [[https://www.cs.colostate.edu/wiki/Remote_Access|Remote
-Access]] page in the Department of Computer Science.  Most useful is
-the description of using VNC.
-====== Python ======
-[[http://www.python.org|Python Programming Language]], the official Python website
 === Resources for learning python ===
-  * [[http://www.python.org/doc/current/tutorial/  | The official Python tutorial]]
+  * [[https://docs.python.org/3/tutorial/  | The official Python tutorial]]
+  * [[http://greenteapress.com/wp/think-python-2e/|Think Python]], on-line book by Allen Downey
-  * [[http://www.greenteapress.com/thinkpython|Think Python]], on-line
+  * [[http://learnpythonthehardway.org/book/|Learn Python the hard way]] (not updated to Python 3)
-book by Allen Downey
-  * [[http://www.diveintopython.net/|Dive Into Python]], on-line book by Mark Pilgrim
-  * [[https://portal.g-node.org/python-summerschool-2009/slides|Dive into Python]] slides, by Bartosz Telenczuk
 === Python resources ===
-[[http://aymanh.com/python-debugging-techniques|Python Debugging
+  * [[http://pythonconquerstheuniverse.wordpress.com/category/python-debugger/|Python Debugging Techniques]]
-Techniques]] and [[http://pythonconquerstheuniverse.wordpress.com/category/python-debugger/|Python Conquers the Universe]]
+  * [[http://docs.python.org/library/index.html|The Python Standard Library]]
+  * [[http://ipython.org/|IPython]]:  a better Python interpreter.
-[[http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html|Code Like a Pythonista: Idiomatic Python]]
-[[http://docs.python.org/library/index.html|The Python Standard Library]]
-[[http://ianozsvald.com/HighPerformancePythonfromTrainingatEuroPython2011_v0.2.pdf|High
-Performance Python]], by Ian Ozsvald
-===== IPython =====
-[[http://ipython.org/|IPython]] main site
-[[http://showmedo.com/videotutorials/video?name=1000010&fromSeriesID=100|Video tutorial on using ipython]], in five parts by Jeff Rush
-[[http://www.youtube.com/watch?v=2G5YTlheCbw|Video: IPython in-depth: high-productivity interactive and parallel python]], at 1:22 this video
-summarizes the IPython Notebook.
@@ Line 73: / Line 30: @@
 ==== ... MS Windows ====
-[[http://docs.python.org/using/windows.html|Using Python on Windows]]
+  * [[http://docs.python.org/using/windows.html|Using Python on Windows]]
-[[http://pytools.codeplex.com/releases/view/69880|Python Tools for Visual Studio]]
 ==== ... Macs ====
-[[http://www.thisisthegreenroom.com/2011/installing-python-numpy-scipy-matplotlib-and-ipython-on-lion/|Installing Python on Lion or Mountain Lion]]
+  * [[http://docs.python.org/using/mac.html|Using Python on Macs]]
-[[http://docs.python.org/using/mac.html|Using Python on Macs]]
 ===== Python in ... =====
-==== .. in Spyder ====
-[[http://code.google.com/p/spyderlib/|Spyder]], stands for Scientific
+==== .. in Emacs ======
-PYthon Development EnviRonment
+  * [[http://www.gnu.org/software/emacs/tour/|A Guided Tour of Emacs]], helps answer the question "Why emacs?"
 ==== ..  in Eclipse =====
-[[http://pydev.org/|Pydev for Eclipse]]
+  * [[http://pydev.org/|Pydev for Eclipse]] (if you must...)
-==== .. in Emacs ======
-[[http://www.gnu.org/software/emacs/tour/|A Guided Tour of Emacs]],
-helps answer the question "Why emacs?"
-Here is a two page
-[[http://www.sfr-fresh.com/unix/misc/emacs-23.2.tar.gz:a/emacs-23.2/etc/refcards/refcard.pdf|Emacs
-Reference Card]].
 ====== numpy, matplotlib, scipy ======
-[[http://www.google.com/url?sa=t&source=web&cd=10&ved=0CGkQFjAJ&url=http%3A%2F%2Fm.friendfeed-media.com%2Fde093ffcc58b8447f5ac2e8ddd83074d8cf9c4bd&rct=j&q=numpy%20list%20of%20array%20values%20without%20copying&ei=duPCTc_NHobiiALIzfyjAw&usg=AFQjCNHkcn0RBhgCCAUP7xqO2pSA34nlQA|The
+  * [[http://www.google.com/url?sa=t&source=web&cd=10&ved=0CGkQFjAJ&url=http%3A%2F%2Fm.friendfeed-media.com%2Fde093ffcc58b8447f5ac2e8ddd83074d8cf9c4bd&rct=j&q=numpy%20list%20of%20array%20values%20without%20copying&ei=duPCTc_NHobiiALIzfyjAw&usg=AFQjCNHkcn0RBhgCCAUP7xqO2pSA34nlQA|The NumPy Array: A Structure for Efficient Numerical Computation]], by Stéfan van der Walt, S. Chris Colbert, and Gaël Varoquaux
-NumPy Array: A Structure for Efficient Numerical Computation]], by
+  * [[http://neuroscience.telenczuk.pl/wp-content/uploads/2010/07/python_tools_for_science.pdf|Python Tools for Science]], by Bartosz Telenczuk
-Stéfan van der Walt, S. Chris Colbert, and Gaël Varoquaux
-[[http://neuroscience.telenczuk.pl/wp-content/uploads/2010/07/python_tools_for_science.pdf|Python Tools for Science]], by Bartosz Telenczuk
-Some links provided by Brian Kraus:
   * [[http://www.scipy.org/Tentative_NumPy_Tutorial|Tentative (basic) tutorial]]
   * [[http://www.scipy.org/Numpy_Example_List|Example list]]
   * [[http://docs.scipy.org/doc/numpy/reference/|Reference guide]]
+  * [[http://showmedo.com/videotutorials/video?fromSeriesID=1037&name=10370000|Introducing Numpy Arrays]], video.
-[[http://showmedo.com/videotutorials/video?fromSeriesID=1037&name=10370000|Introducing Numpy Arrays]], video.
 Many other related vides can be [[http://showmedo.com/videotutorials/numpy|found here]].
-For installing on MS Windows, see [[http://www.scipy.org/Installing_SciPy/Windows|Installing SciPy / Windows]]. See the first sentence and follow the "Download" link.
+  * For installing on MS Windows, see [[http://www.scipy.org/Installing_SciPy/Windows|Installing SciPy / Windows]].
 ====== Matplotlib ======
-Save and edit the customization file
+  * Save and edit the customization file [[http://matplotlib.sourceforge.net/users/customizing.html#customizing-matplotlib|described here]] to modify how matplotlib makes plots.
-[[http://matplotlib.sourceforge.net/users/customizing.html#customizing-matplotlib|described
+  * Here is a [[http://www.oneminutepython.com/|nice short tutorial]] on how to combine matplotlib plots within a gui application based on wxWidgets and wxPython.
-here]] to modify how matplotlib makes plots.
-Here is a [[http://www.oneminutepython.com/|nice short tutorial]] on how to combine matplotlib plots within a gui
-application based on wxWidgets and wxPython.
 ====== LaTeX ======
 Lots of tutorials and quick starts out there:
-  * [[http://www.latex-project.org/guides/|LaTeX Documentation]]
   * [[http://tobi.oetiker.ch/lshort/lshort.pdf|The Not So Short Introduction to LATEX 2ε or LATEX 2ε in 157 minutes]] by Tobias Oetiker, Hubert Partl, Irene Hyna and Elisabeth Schlegl, with an excellent index useful for looking up commands
   * [[http://soundandcomplete.com/2010/05/13/emacs-as-the-ultimate-latex-editor/|Emacs as the Ultimate LaTeX Editor]], by Piotr Kaźmierczak
@@ Line 144: / Line 75: @@
   * [[http://tug.org/tutorials/tugindia/|Online tutorials on LaTeX]] by the Indian TeX Users Group
   * [[http://www.andy-roberts.net/writing/latex|Getting to Grips with LaTeX]] by Andrew Roberts
-===== IDEs =====
-On the computer science department's network, we have [[http://www.xm1math.net/texmaker/|texmaker]] installed.  Just type
+===== Tools for LaTex =====
-  > texmaker
-at the unix prompt to get started.  We also have [[http://www.lyx.org/|LyX]], which you run by
+There are specific editors and GUI programs to help you with LaTex (e.g. texmaker, lyx, and kile for linux, which are installed on CS machines, and miktex for windows).  Personally, I either do things at the commandline and use emacs/aquamacs for editing or use one of two very good online systems:  ([[https://www.overleaf.com/ | Overleaf]] or [[https://www.sharelatex.com/ | ShareLatex]]).
-  > lyx
-And we have [[http://kile.sourceforge.net/|kile]], which you run by
-  > kile
 ===== Latex on Windows and Macs =====
-  * [[http://www.latex-project.org/ftp.html|Obtaining LaTeX]], includes links to [[http://www.tug.org/protext/|ProTeXT]] for Windows, and [[http://www.tug.org/mactex/2011/|MacTeX]] for Macs.
+  * [[http://www.latex-project.org/ftp.html|Obtaining LaTeX]], includes links to [[http://www.tug.org/protext/|ProTeXT]] for Windows, and [[http://www.tug.org/mactex/|MacTeX]] for Macs.
+===== Remote Access to CS Department Machines =====
+See the [[https://www.cs.colostate.edu/wiki/Remote_Access|Remote Access]] page department wiki.
 ====== Matrices ======
-[[http://www.johndcook.com/blog/2010/01/19/dont-invert-that-matrix/|Don't Invert that Matrix]], by John Cook
+  * [[http://www.johndcook.com/blog/2010/01/19/dont-invert-that-matrix/|Don't Invert that Matrix]], by John Cook
+  * [[http://orion.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf|The Matrix Cookbook]], by Kaare Brandt Petersen and Michael Syskind Pedersen
+===== Machine Learning Societies, Journals and Conferences =====
+  * [[http://machinelearning.org/|The International Machine Learning Society]] and its [[http://machinelearning.org/icml.html|International Conference on Machine Learning]]
+  * [[http://jmlr.csail.mit.edu/|Journal of Machine Learning Research]], free, on-line
+  *  [[http://www.mitpressjournals.org/loi/neco|Neural Computation]]
+  * [[http://nips.cc/|Neural Information Processing Systems]] conference.
-[[http://orion.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf|The Matrix Cookbook]], by Kaare Brandt Petersen and Michael Syskind Pedersen

CS545 fall 2016

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