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Modeling Social DataSpring 2015
http://www.modelingsocialdata.org/
Spring 2015
http://www.modelingsocialdata.org/
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Modeling Social Data | modelingsocialdata.org Reviews
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Posts | Modeling Social Data
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Lecture 6: Regression, Part 1. February 24, 2017. This was the first of two lectures on the theory and practice of regression. Lecture 5: Data Visualization. February 17, 2017. We had a guest lecture from Çağatay Demiralp. Lecture 4: Counting at Scale. February 10, 2017. In this lecture we discussed combining and reshaping data in R as well as counting at scale with MapReduce. February 10, 2017. The first homework assignment, posted on Github. Is due on Thursday, February 23 by 11:59pm ET.
Syllabus | Modeling Social Data
http://modelingsocialdata.org/syllabus
This course consists of one weekly lecture from 10:10 to 12:40 on Fridays in 310 Fayerweather Hall. Here is a tenative schedule of topics:. Counting at Scale: MapReduce. Regression I: Theory and Practice. Regression II: Theory and Practice. Classification I: Naive Bayes. Classification II: Logistic Regression. Networks I: Representations, characteristics. Networks II: Counting on graphs. Causality and Experiments: I. Causality and Experiments: II. Topics will cover material from several books, including:.
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jake hofman :: teaching
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I co-taught modeling social data. Apam e4990) in columbia's applied mathematics department in the spring of 2015. I co-taught computational social science. Apam e4990) in columbia's applied mathematics department in the spring of 2013. I taught data-driven modeling. Apam e4990) in columbia's applied mathematics department in the spring of 2012, a course on data mining and applied machine learning. see the current course site. I originally designed and taught this class in the fall of 2009. After survivin...
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Model Based Design (MBD) of acoustic equipment, transducers and MEMS is only one contemporary approach, which can solve different multiphysical tasks in integrated computational environment for optimal combination of engineering elements and parameters setting. Subscribe to: Posts (Atom).
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Modeling Social Data
Department of Applied Mathematics. Department of Applied Physics and Applied Mathematics. Course Numbers: Applied Mathematics E4990. Time: Fridays, 9am-12pm. Location: 627 Seeley W. Mudd Building. Because the course builds on a wide range of fields, we do not have hard prerequisites but strongly suggest familiarity with some subset of: statistics, probability, machine learning, linear algebra, and a scripting language such as Python or R. Course work will include writing R code.
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O ciclo de morte dos sistemas. RUP – Arquitetura de Software. Dezembro 12, 2010. Segundo (Mendes, 2006) o arquiteto de software é ainda um papel recente na comunidade brasileira de software. Por consequência, muita confusão ainda existe sobre o que este papel realiza dentro de um desenvolvimento de software. 1 º Mito: arquiteto = desenvolvedor sênior evoluído. 2 º Mito: o arquiteto trabalha em um ambiente isolado da realidade do processo de desenvolvimento. Um arquiteto de sistemas deve conhecer também o...
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