[Air-L] Data Science Intensive Training for Ph.D.s

Hamlet López García hamlet.lopez at cubarte.cult.cu
Fri Feb 24 16:10:55 PST 2017


Thanks Elijah! The Quanteda package looks very promising!

El 24/02/2017 a las 9:04, Elijah Wright escribió:
>
> Because I was playing with it quite a bit recently... check out the 
> quanteda package in R.  It's got a bunch of very convenient methods 
> pulled together in one place - things we would have had to think a lot 
> harder about, or pull in from other packages (porter stemmer, etc) a 
> decade ago.
>
> (If you're reading ML texts you're probably running across more quant 
> methods than qualitative.... hopefully this gives you a few ways to 
> shortcut your analysis and spend more time on thinking and less on 
> drudge-programming... )
>
> --e
>
>
> On Wed, Feb 22, 2017 at 7:41 PM, Hamlet López García 
> <hamlet.lopez at cubarte.cult.cu <mailto:hamlet.lopez at cubarte.cult.cu>> 
> wrote:
>
>     Dear colleagues,
>
>     I also think a repo/forum/listserve would be a really great idea.
>     I know a little of programing, mainly in Java, and right now I am
>     struggling with a corpus of around 4000 emails of a free software
>     community, for my PhD in Social Communication. So it will be great
>     to share references and suggestions. So far I am studying with the
>     book Machine Learning in Action, by Peter Harrington (Manning,
>     2012), a very accessible text. Also I am exploring the possibility
>     of a classifier based on Apache Lucene, to facilitate the
>     qualitative categorization of emails.
>
>     Best
>
>     Hamlet
>
>
>
>
>     El 22/02/2017 a las 12:46, Matthew T Mccarthy escribió:
>
>         Hi All,
>         I’ve also been exploring data science in my off time. I
>         started learning the basics of ML algos with a Udemy course,
>         but have been supplementing that very general instruction with
>         O’Reilly texts on data science using R, SQL, and others. I
>         think a repo/forum/listserv would be a really great idea.
>
>         For information Kaggle.com<http://Kaggle.com> has been helpful.
>         For open data data.world also seems to be a good source.
>
>         Best,
>         Matt
>
>         Matthew T. Mccarthy
>         Ph.D. Candidate/Lecturer
>         PO Box: 413 Milwaukee, WI 53201
>         University of Wisconsin - Milwaukee
>
>
>
>
>
>         On Feb 22, 2017, at 2:10 PM, Lauri Goldkind
>         <goldkind at fordham.edu
>         <mailto:goldkind at fordham.edu><mailto:goldkind at fordham.edu
>         <mailto:goldkind at fordham.edu>>> wrote:
>
>         Hi Craig,
>
>         I am a CS DBMS dropout. I must admit I found the teaching
>         style daunting as
>         a returning student (memorize SQL code cold).
>
>         The shared repository would be very welcome.
>
>         Best,
>         Lauri.
>
>         _________________________________________
>         Lauri Goldkind, PhD
>         Graduate School of Social Service
>         Fordham
>         http://www.laurigoldkind.net/
>
>         There is nothing in a caterpillar that tells you its going to
>         be a butterfly.
>
>         --- Buckminster Fuller (1895-1983)
>
>
>         On Wed, Feb 22, 2017 at 3:10 AM, Craig Hamilton
>         <Craig.Hamilton at bcu.ac.uk <mailto:Craig.Hamilton at bcu.ac.uk>>
>         wrote:
>
>         Dear Jose,
>
>
>
>         I’d be happy to share some of my experiences with you. From a
>         standing
>         start about 18 months ago, during my own PhD, I took a similar
>         decision.
>         During that time I’ve managed to learn some basic programming
>         and have been
>         able to use some data science techniques on my own data. Drop
>         me a line if
>         you’d like to discuss things. To start with, I’d recommend the
>         Partially
>         Derivative podcast. This is a magazine show about data, data
>         science and so
>         on, that will give you a good feel for the field as an
>         outsider. I found
>         this episode from a couple of years ago particularly good as a
>         ‘Where to
>         start’ guide:
>         https://urldefense.proofpoint.com/v2/url?u=http-3A__
>         <https://urldefense.proofpoint.com/v2/url?u=http-3A__>
>         partiallyderivative.com_news_2015_01_09_episode-2D9-2Dthe-
>         2Done-2Dthat-2Dwill-2Dtotally-2Dchange-2Dyour-2Dlife&d=DwIGaQ&c=
>         aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r=
>         Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT-
>         BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=PqpfcFwEmLgmEZ_
>         appqqS20zqGsmnP2HUo3_Y9sdgqE&e= .
>
>
>
>         If any other AoIR list colleagues think it would be useful to
>         set up some
>         sort of group discussion/repository of resources for social
>         science/humanities scholars, I’d be happy to be involved.
>
>
>
>         Kind regards
>
>         Craig
>
>
>
>         On 22 Feb 2017, at 05:19, Jose Marichal <jfmarichal at gmail.com
>         <mailto:jfmarichal at gmail.com><mailto:j <mailto:j>
>         fmarichal at gmail.com <mailto:fmarichal at gmail.com>>> wrote:
>
>
>
>         Colleagues,
>
>
>
>         I'm a mid-career Ph.D. social scientist going on sabbatical
>         next year and
>
>         I'd like to immerse myself in learning different aspects of data
>
>         science/machine learning... I'd be grateful if folks could
>         recommend
>
>         programs or opportunities for Ph.D.'s to learn these tools.
>
>
>
>         Warm regards,
>
>         Jose Marichal
>
>         California Lutheran University
>
>
>
>         --
>
>         ____________________________________________________________
>         ___________________________
>
>
>
>         josé marichal, ph.d. | professor and chair| political science
>         department |
>
>         california lutheran university
>
>         60 w. olsen road | #3800 | thousand oaks, ca  91360
>
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>     -- 
>     MsC. Hamlet López García
>     Investigador Auxiliar ICIC Juan Marinello
>     doctorando por la Facultad de Comunicación, Universidad de la Habana
>
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>

-- 
MsC. Hamlet López García
Investigador Auxiliar ICIC Juan Marinello
doctorando por la Facultad de Comunicación, Universidad de la Habana




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