Difference between revisions of "Useful stuff"

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A list of useful resources on the web.
 
A list of useful resources on the web.
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== General Math ==
  
 
* [https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf Matrix cookbook]
 
* [https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf Matrix cookbook]
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* [http://www.cs.toronto.edu/~urtasun/courses/CV/lecture02.pdf Image filtering, edge detection, etc. (Computer vision)]
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* [http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm Hough transform tutorial (Computer vision)]
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* [http://www.cse.unr.edu/~bebis/CS474/Handouts/WaveletTutorial.pdf Introductory tutorial on Wavelet transforms]
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*[http://download.springer.com/static/pdf/772/bok%253A978-1-4614-4984-3.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fbook%2F10.1007%2F978-1-4614-4984-3&token2=exp=1474042019~acl=%2Fstatic%2Fpdf%2F772%2Fbok%25253A978-1-4614-4984-3.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Fbook%252F10.1007%252F978-1-4614-4984-3*~hmac=0a460b39cb2453dbeb442d3ac78432ef059788bc44ff8e4fe1c62fb8f57ec95f Imaging Brain Function with EEG: Advanced Temporal and Spatial Analysis of EEG Signals (Book by Walter J. Freeman)]
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* [https://webfiles.uci.edu/mdlee/LeeWagenmakers2013_Free.pdf Bayesian Cognitive Modeling: A Practical Course]
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== Statistics ==
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* [http://onlinestatbook.com/2/index.html Rice University online Stats book]
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* [http://www.leg.ufpr.br/~eder/Markov/Markov%20Chain%20Monte%20Carlo%20In%20Practice%20.pdf Markov Chain Monte Carlo in practice] - book
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* [http://statweb.stanford.edu/~tibs/stat315a/Supplements/bootstrap.pdf Bootstrap methods & significance estimation]
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* how to do [[Media:Repeated_ANOVA_MATLAB.pdf | repeated measures ANOVA]] in Matlab (by Parisa)
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* [http://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1004961 Ten Simple Rules for Effective Statistical Practice]
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* [http://bootstrap-software.com/psignifit/publications/hill2001.pdf Testing Hypotheses About Psychometric Functions]
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* [[Media:Latin_square_Method.pdf | Latin square method for experimental design]]
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== General Comp Nsci ==
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* [https://www.youtube.com/user/elscvideo/videos ELSC Youtube Channel] Contains archived computational neuroscience seminars and lectures, including Dayan, Abbot, Pouget..., as well as physiology resources.
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* [https://www.coursera.org/learn/computational-neuroscience Coursera Computational Neuroscience] With instructors Rajesh Rao and Adrienne Fairhall.
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* [http://www.shadmehrlab.org/lectures.html Reza Shadmehr lectures on motor control & learning]
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== How to do science ==
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* [http://compneurosci.com/wiki/index.php/Paper_Writing_101 Konrad's paper writing 101]
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* Konrad's [http://biorxiv.org/content/early/2016/12/14/088278?utm_content=buffer8d04a&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer 10 simple rules for structuring papers] advice: read this before you start writing!!!
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* [http://collections.plos.org/ten-simple-rules PLoS CB - 10 simple rules collection]: a must read for everyone!
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* [http://colorbrewer2.org Colorbrewer]: great tool for selecting colour schemes on publications
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* [http://neuronline.sfn.org/Articles/Professional-Development/2016/Tricks-of-the-Trade-How-to-Peer-Review-a-Manuscript How to peer review a manuscript]: Webinar and resources from SfN Neuronline.
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* [http://neuronline.sfn.org/Articles/Career-Advice/2017/Tricks-of-the-Trade-Modelling-Papers-Resources How To Review Modelling Papers]: A webinar + resources from SfN Neuronline. The webinar date has passed, but if you 'register' there is an email link that will lead you to the archived video.
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* [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4284499/ The pleasure of publishing (Malhotra & Marder, 2015)]: Elife editors' opinions on what makes an effective manuscript.
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== How to be successful ==
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* [https://www.technologyreview.com/s/409043/how-to-think/?utm_content=buffer9ea8e&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer Ed Boyden's advice on how to think]
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* [http://www.wikihow.com/Think Developing better thought processes]
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* [http://faculty.georgetown.edu/kingch/How_to_Think.htm How to argue well]
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* [http://www.lifehack.org/articles/productivity/12-weekend-habits-highly-successful-people.html Habits for success]
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* [http://www.cell.com/neuron/pdf/S0896-6273(15)00331-1.pdf Hitchhikers guide to a Career in Neuroscience]
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* [http://www.programmerfu.com/2017/04/20/fast-is-slow-slow-is-smooth-smooth-is-fast.html Slow is smooth and smooth is fast]
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* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.462.8391&rep=rep1&type=pdf Survival Skills for Graduate School and Beyond] (Fischer and Zigmond, 1998; still very applicable)
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* [https://www.cs.utexas.edu/users/EWD/transcriptions/EWD06xx/EWD637.html 3 golden rules of scientific success] by Dijkstra
 
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== Machine learning books ==
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== Work-life balance & mental health ==
  
* [http://personal.disco.unimib.it/Vanneschi/McGrawHill_-_Machine_Learning_-Tom_Mitchell.pdf Tom Mitchell's book]
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As an undergraduate, graduate student or postdoc, as exciting a time as this is, you will face stress, frustration and deception. Your passion for science can suck up all your time and wack your physical and mental health out of balance. This can lead to a downward spiral out of which comes no good. Yes, grad school / postdoc work is hard, don't let it destroy you. So here are a few tips to avoid that in the first place.
* [http://alex.smola.org/drafts/thebook.pdf Smola & Vishwanathan's book]
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* Get enough exercise and sleep!
* [http://ciml.info/dl/v0_8/ciml-v0_8-all.pdf Daume's book]
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* [http://www.nextscientist.com/work-life-balance-in-academia/ The Happy PhD zone]: how to maintain a work-life balance in academia
* [https://www.cs.ubc.ca/~murphyk/MLbook/pml-intro-22may12.pdf Murphy's book]
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* [http://thegradstudentway.com/blog/?p=76#.WRZWlGfSkvc 6 Ways To Survive Grad School and Achieve Work-Life Balance]
* [http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf Shalev-Shwartz & Ben-David's book]
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* [https://www.mcgill.ca/gradsupervision/supervisees/work-life Official McGill University guidelines] on work-life balance
* [http://ai.stanford.edu/~nilsson/MLBOOK.pdf Nilsson's book]
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* [https://www.bustle.com/articles/87409-graduate-school-is-hard-so-here-are-8-simple-ways-to-maintain-your-sanity How to maintain your sanity] during grad school
* [http://www2.ift.ulaval.ca/~chaib/IFT-4102-7025/public_html/Fichiers/Machine_Learning_in_Action.pdf Harrington's book]
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* [https://psychcentral.com/lib/12-tips-for-surviving-and-thriving-in-grad-school/ Grad school survival tips]
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* [http://www.nature.com/nature/journal/v545/n7654/full/nj7654-375a.html?WT.mc_id=FBK_NatureNews&sf79769979=1 Break or burn out]: a nice article in Nature
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*[https://www.psychologytoday.com/files/attachments/1035/arts-foster-scientific-success.pdf Creative outlets and Scientific Success] Scientists are not more likely to have creative outlets, but the most successful ones are

Latest revision as of 19:25, 6 February 2018

A list of useful resources on the web.

General Math


Statistics


General Comp Nsci


How to do science


How to be successful


Work-life balance & mental health

As an undergraduate, graduate student or postdoc, as exciting a time as this is, you will face stress, frustration and deception. Your passion for science can suck up all your time and wack your physical and mental health out of balance. This can lead to a downward spiral out of which comes no good. Yes, grad school / postdoc work is hard, don't let it destroy you. So here are a few tips to avoid that in the first place.