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

Fri Feb 24 09:04:20 PST 2017

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> 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>> 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
>> >
>> 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__
>> 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:j
>> 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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