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
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: http://partiallyderivative.com/news/2015/01/09/episode-9-the-one-that-will-t.... 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@gmail.com<mailto:jfmarichal@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 _______________________________________________ The Air-L@listserv.aoir.org<mailto:Air-L@listserv.aoir.org> mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/
Hi, I am also learning data science during my phd with datacamp.com. Regards, Yohanan בתאריך 22 בפבר' 2017 10:11, "Craig Hamilton" <Craig.Hamilton@bcu.ac.uk> כתב:
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: http://partiallyderivative.com/news/2015/01/09/episode-9- the-one-that-will-totally-change-your-life.
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@gmail.com<mailto:j fmarichal@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 _______________________________________________ The Air-L@listserv.aoir.org<mailto:Air-L@listserv.aoir.org> mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/ listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
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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@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@gmail.com<mailto:j fmarichal@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
_______________________________________________
The Air-L@listserv.aoir.org<mailto:Air-L@listserv.aoir.org> mailing list
is provided by the Association of Internet Researchers https://urldefense.proofpoint.com/v2/url?u=http-3A__aoir.org&d=DwIGaQ&c= aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=YrSHOcgHCFaVVbRXh667thg1_ bbtUR-fg7PNqn3t480&e=
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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@fordham.edu<mailto:goldkind@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@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@gmail.com<mailto:j fmarichal@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 _______________________________________________ The Air-L@listserv.aoir.org<mailto:Air-L@listserv.aoir.org> mailing list is provided by the Association of Internet Researchers https://urldefense.proofpoint.com/v2/url?u=http-3A__aoir.org&d=DwIGaQ&c= aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=YrSHOcgHCFaVVbRXh667thg1_ bbtUR-fg7PNqn3t480&e= Subscribe, change options or unsubscribe at: https://urldefense.proofpoint.com/v2/url?u=http-3A__ listserv.aoir.org_listinfo.cgi_air-2Dl-2Daoir.org&d=DwIGaQ&c= aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=1NB1ESWjJdbNiCEziKqgH7dZEm4cWP oZZKlr5ET3Em8&e= Join the Association of Internet Researchers: https://urldefense.proofpoint.com/v2/url?u=http-3A__www. aoir.org_&d=DwIGaQ&c=aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=SzWDtZxql3phjmB_ 6Wvu8j0CrAMsDtO0AENkREbl9_0&e= _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers https://urldefense.proofpoint.com/v2/url?u=http-3A__aoir.org&d=DwIGaQ&c= aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=YrSHOcgHCFaVVbRXh667thg1_ bbtUR-fg7PNqn3t480&e= Subscribe, change options or unsubscribe at: https://urldefense.proofpoint.com/v2/url?u=http-3A__ listserv.aoir.org_listinfo.cgi_air-2Dl-2Daoir.org&d=DwIGaQ&c= aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=1NB1ESWjJdbNiCEziKqgH7dZEm4cWP oZZKlr5ET3Em8&e= Join the Association of Internet Researchers: https://urldefense.proofpoint.com/v2/url?u=http-3A__www. aoir.org_&d=DwIGaQ&c=aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=SzWDtZxql3phjmB_ 6Wvu8j0CrAMsDtO0AENkREbl9_0&e= _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/
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@fordham.edu<mailto:goldkind@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@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@gmail.com<mailto:j fmarichal@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
_______________________________________________
The Air-L@listserv.aoir.org<mailto:Air-L@listserv.aoir.org> mailing list
is provided by the Association of Internet Researchers https://urldefense.proofpoint.com/v2/url?u=http-3A__aoir.org&d=DwIGaQ&c= aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=YrSHOcgHCFaVVbRXh667thg1_ bbtUR-fg7PNqn3t480&e=
Subscribe, change options or unsubscribe at: https://urldefense.proofpoint.com/v2/url?u=http-3A__ listserv.aoir.org_listinfo.cgi_air-2Dl-2Daoir.org&d=DwIGaQ&c= aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=1NB1ESWjJdbNiCEziKqgH7dZEm4cWP oZZKlr5ET3Em8&e=
Join the Association of Internet Researchers:
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_______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers https://urldefense.proofpoint.com/v2/url?u=http-3A__aoir.org&d=DwIGaQ&c= aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=YrSHOcgHCFaVVbRXh667thg1_ bbtUR-fg7PNqn3t480&e= Subscribe, change options or unsubscribe at: https://urldefense.proofpoint.com/v2/url?u=http-3A__ listserv.aoir.org_listinfo.cgi_air-2Dl-2Daoir.org&d=DwIGaQ&c= aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=1NB1ESWjJdbNiCEziKqgH7dZEm4cWP oZZKlr5ET3Em8&e=
Join the Association of Internet Researchers: https://urldefense.proofpoint.com/v2/url?u=http-3A__www. aoir.org_&d=DwIGaQ&c=aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=SzWDtZxql3phjmB_ 6Wvu8j0CrAMsDtO0AENkREbl9_0&e= _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
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Join the Association of Internet Researchers: http://www.aoir.org/
-- MsC. Hamlet López García Investigador Auxiliar ICIC Juan Marinello doctorando por la Facultad de Comunicación, Universidad de la Habana
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@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@fordham.edu<mailto: goldkind@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@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@gmail.com<mailto:j fmarichal@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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Join the Association of Internet Researchers: https://urldefense.proofpoint.com/v2/url?u=http-3A__www. aoir.org_&d=DwIGaQ&c=aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=SzWDtZxql3phjmB_ 6Wvu8j0CrAMsDtO0AENkREbl9_0&e= _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
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Join the Association of Internet Researchers: http://www.aoir.org/
-- MsC. Hamlet López García Investigador Auxiliar ICIC Juan Marinello doctorando por la Facultad de Comunicación, Universidad de la Habana
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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@cubarte.cult.cu <mailto:hamlet.lopez@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@fordham.edu <mailto:goldkind@fordham.edu><mailto:goldkind@fordham.edu <mailto:goldkind@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@bcu.ac.uk <mailto:Craig.Hamilton@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@gmail.com <mailto:jfmarichal@gmail.com><mailto:j <mailto:j> fmarichal@gmail.com <mailto:fmarichal@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
_______________________________________________
The Air-L@listserv.aoir.org <mailto:Air-L@listserv.aoir.org><mailto:Air-L@listserv.aoir.org <mailto:Air-L@listserv.aoir.org>> mailing list
is provided by the Association of Internet Researchers https://urldefense.proofpoint.com/v2/url?u=http-3A__aoir.org&d=DwIGaQ&c= <https://urldefense.proofpoint.com/v2/url?u=http-3A__aoir.org&d=DwIGaQ&c=> aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=YrSHOcgHCFaVVbRXh667thg1_ bbtUR-fg7PNqn3t480&e=
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Join the Association of Internet Researchers:
https://urldefense.proofpoint.com/v2/url?u=http-3A__www <https://urldefense.proofpoint.com/v2/url?u=http-3A__www>. aoir.org_&d=DwIGaQ&c=aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r= Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT- BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=SzWDtZxql3phjmB_ 6Wvu8j0CrAMsDtO0AENkREbl9_0&e=
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Join the Association of Internet Researchers: http://www.aoir.org/
-- MsC. Hamlet López García Investigador Auxiliar ICIC Juan Marinello doctorando por la Facultad de Comunicación, Universidad de la Habana
_______________________________________________ The Air-L@listserv.aoir.org <mailto:Air-L@listserv.aoir.org> mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org <http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org>
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-- MsC. Hamlet López García Investigador Auxiliar ICIC Juan Marinello doctorando por la Facultad de Comunicación, Universidad de la Habana
participants (7)
-
Craig Hamilton -
Elijah Wright -
Hamlet López García -
Jose Marichal -
Lauri Goldkind -
Matthew T Mccarthy -
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