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

Wed Feb 22 17:41:45 PST 2017

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