Theoretical Motivations for Deep Learning
Posted by Armando Brito Mendes | Filed under lições
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Uma boa introdução ao Deep Learning uma nova técnica de machine learning.
This post is based on the lecture “Deep Learning: Theoretical Motivations” given by Dr. Yoshua Bengio at Deep Learning Summer School, Montreal 2015. I highly recommend the lecture for a deeper understanding of the topic.
Deep learning is a branch of machine learning algorithms based on learning multiple levels of representation. The multiple levels of representation corresponds to multiple levels of abstraction. This post explores the idea that if we can successfully learn multiple levels of representation then we can generalize well.
Tags: data mining, machine learning
R and the Nobel Prize API
Posted by Armando Brito Mendes | Filed under estatística, software, visualização
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Um bom exemplo do que se pode fazer com o R e uma API q serviços de dados.
he Nobel Prizes. Love them? Hate them? Are they still relevant, meaningful? Go on admit it, you always imagined you would win one day.
Whatever you think of them, the 2015 results are in. What’s more, the good people of the Nobel Foundation offer us free access to data via an API. I’ve published a document over at RPubs, showing some of the ways to access and analyse their data using R. Just to get you started:
Tags: análise de dados, belo, data mining, Estat Descritiva, R-software
KNIME Community Contributions
Posted by Armando Brito Mendes | Filed under materiais para profissionais, software
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Boa fonte de novos nós do KNIME, evitando q estejamos a programar algo q já foi programado antes.
KNIME Community Contributions offer a wide range of KNIME nodes from different application areas, such as chemo- and bioinformatics, image processing, or information retrieval. In contrast to the extensions available via the standard KNIME Update Site they are provided and maintained by various community developers.
The Trusted Community Contributions can easily be installed by selecting File -> Install KNIME Extensions in KNIME. Additional extensions are available by enabling the Update Site in KNIME via File -> Preferences -> Install/Update -> Available Update Sites. See the update site guide for details.
You can also download the whole update site as a ZIP archive and add the ZIP to the Available Update Sites (see above).
Tags: data mining, Knime, software estatístico, text mining
norsecorp cyber attack info
Posted by Armando Brito Mendes | Filed under mapas SIG's, visualização
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Um site dinâmico q mapeia informação sobre ciberataques em tempo real
The Statistics Portal
Posted by Armando Brito Mendes | Filed under estatística, materiais para profissionais, visualização
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We pride ourselves in being one of the world’s first and only companies to bring together data from over 18,000 sources.
Our research analysts source the most up-to-date statistical data from around the globe; our analytical approach and efficient research processes enable us to supply our clients with the data that is relevant to them.
Tags: análise de dados, Estat Descritiva, software estatístico
Ternary Diagrams Using R
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, visualização
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Exemplo de criação de diagramas ternários no R
Ternary Diagrams Using R: An Example Using Election Outcomes
A tutorial by D. M. Wiig
In part one of this tutorial I discussed creating a ternary diagram using a simple data frame that contained five hypothetical cases. In this tutorial I will expand on that foundation by creating a more informative ternary diagram using live data.
A useful application of this package in social science research is creating a visual display of parliamentary election outcomes. Specifically we can use a ternary graph to examine the distribution of seats in the British House of Commons over a period of time. Since the UK uses a proportional system to allocate seats in the House of Commons there can be a variety of outcomes in any given national election.
Tags: Estat Descritiva, R-software
Science Isn’t Broken
Posted by Armando Brito Mendes | Filed under estatística, materiais para profissionais, visualização
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Um bom blog com discussões interessantes e ilustrações muito boas
The Scientific Method 7:00 AM Aug 19, 2015
Science Isn’t Broken
It’s just a hell of a lot harder than we give it credit for.
Graphics by Ritchie King
If you follow the headlines, your confidence in science may have taken a hit lately.
Peer review? More like self-review. An investigation in November uncovered a scam in which researchers were rubber-stamping their own work, circumventing peer review at five high-profile publishers.
Hack Your Way To Scientific Glory
Tags: belo, inferência
NACJD – The Source for Crime and Justice Data
Posted by Armando Brito Mendes | Filed under data sets, estatística
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Uma fonte de dados sobre a justiça norte-americana
Data Resource Guides
- Capital Punishment in the United States
- Chicago Women’s Health Risk Study
- Expenditure and Employment for the Criminal Justice System
- Federal Justice Statistics Program
- Geographical Information Systems
- Homicide
- Homicides in Chicago
- Law Enforcement Management and Administrative Statistics
- National Corrections Reporting Program
- National Crime Victimization Survey
- National Incident-Based Reporting System
- National Juvenile Corrections Data
- Project on Human Development in Chicago Neighborhoods (PHDCN)
- Survey of Inmates in State and Federal Correctional Facilities
- Terrorism & Preparedness Data Resource Center (TPDRC)
- Uniform Crime Reporting Program
- Violence Against Women
Tags: data mining
KNIME Update Site
Posted by Armando Brito Mendes | Filed under materiais ensino, software
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Formas alternativas de instalar novos nós no KNIME
Download KNIME Features using the KNIME Update Site
Additional KNIME plug-ins can be obtained via the KNIME update site which contains additional nodes/functionality for the KNIME workbench:
http://update.knime.org/analytics-platform/2.12/
Alternatively, the KNIME update sites can be downloaded as a zip file:
The KNIME Analytics Platform as well as all other KNIME products are linked automatically to the KNIME Update Site through the File menu via the “Install KNIME Extensions” command. We recommend using this command to access the KNIME Update Site.
If you are using KNIME SDK, a pre-existing Eclipse installation, or are working in an environment with limited internet access, another option for installing KNIME extensions is available. To access this additional dialog use the Help -> Install New Software command. This tool has a different interface that allows update sites to be manually specified. Clicking on “Add…” button (illustrated below) will allow you to either manually specify the url of the KNIME Update Site or use the offline (.zip) version of the Update Site to customize your KNIME installation.
Note: It is important not to unzip the archived KNIME Update Site file prior to specifying it as an update source for KNIME.
Tags: data mining, Knime
Statistical Atlas
Posted by Armando Brito Mendes | Filed under estatística, mapas SIG's, materiais ensino, visualização
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Um projeto em curso que pretende criar mapas temáticos de todos os dados existentes nos EUA, ambicioso, não?
Age and Sex
This is the age and biological sex of the population.
Disability
This is disability status.
Education
This is who goes to school.
Geology
This is the land and water.
Government
This is how the government functions.
Income and Earnings
This is how much money people make.
Language
This is how people communicate.
Living Arrangement
This is the household makeup.
Mortality
This is how people die.
Origins
This is where people come from.
Population
This is how many people there are.
Poverty
This is who lives below the poverty thresholds.
Transportation
This is how people get around.
Work
This is where and how people work.
Tags: belo, Estat Descritiva, mapas, R-software
