Merge pull request #290 from LTKills/pt-tag

Adicionando tag [**pt-br**]

topicos/aprendizado-de-maquina.md

@@ -15,10 +15,10 @@
 - [Data Science and Machine Learning with Python - Hands On!](https://www.udemy.com/data-science-and-machine-learning-with-python-hands-on/)
 - [Python for Data Science and Machine Learning Bootcamp](https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp/)
 - [Data Science and Machine Learning Bootcamp with R](https://www.udemy.com/data-science-and-machine-learning-bootcamp-with-r/)
-- [Introdução ao Aprendizado de Máquina](https://br.udacity.com/course/intro-to-machine-learning--ud120/)
+- [Introdução ao Aprendizado de Máquina](https://br.udacity.com/course/intro-to-machine-learning--ud120/) | [**pt-br**]
 - [Curso no Coursera de Machine Learning ministrado pelo Andrew NG](https://pt.coursera.org/learn/machine-learning)
 - [A Course in Machine Learning](http://ciml.info/)
-- [Curso Machine Learning gratuito UFPR](http://cursos.leg.ufpr.br/ML4all/1parte/)
+- [Curso Machine Learning gratuito UFPR](http://cursos.leg.ufpr.br/ML4all/1parte/) | [**pt-br**]
 
 
 ## Datasets
@@ -27,9 +27,12 @@
 
 ## Grupos
 
-- [Machine & Deep Learning Brasil - Facebook](https://www.facebook.com/groups/machinedeeplearningbrasil/)
-- [Machine Learning & Data Science no Garoa - Telegram](https://t.me/dsmlbr)
-- [School of AI Capítulo SP - Facebook] (https://www.facebook.com/groups/spschoolofai/) 
+- [Machine & Deep Learning Brasil - Facebook](https://www.facebook.com/groups/machinedeeplearningbrasil/) | [**pt-br**]
+
+- [Machine Learning & Data Science no Garoa - Telegram](https://t.me/dsmlbr) | [**pt-br**]
+
+- [School of AI Capítulo SP - Facebook](https://www.facebook.com/groups/spschoolofai/) | [**pt-br**]
+
 
 ## Projetos
 
@@ -45,7 +48,7 @@
 ### Gerais
 
  - [Ten Things Everyone Should Know About Machine Learning](https://www.forbes.com/sites/quora/2017/09/06/ten-things-everyone-should-know-about-machine-learning/#1f1ae48a4e9e)
- - [Introdução Visual ao aprendizado de máquina](http://www.r2d3.us/uma-introducao-visual-ao-aprendizado-de-maquina-1/) [**pt-br**]
+ - [Introdução Visual ao aprendizado de máquina](http://www.r2d3.us/uma-introducao-visual-ao-aprendizado-de-maquina-1/) | [**pt-br**]
  - [Complete Guide to Parameter Tuning in XGBoost (with codes in Python)](https://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/)
  - [I thought I was ready to start coding Neural Networks. Boy, was I wrong.](https://www.linkedin.com/pulse/i-thought-ready-start-coding-neural-networks-boy-wrong-tim-g%C3%BClke/?trackingId=U8FeIMV3JkhPqefE8iU2gQ%3D%3D&lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BUD4Qv5VUShmFJpTbtzvOfA%3D%3D&licu=urn%3Ali%3Acontrol%3Ad_flagship3_feed-object)
  - [Machine Learning Glossary](https://developers.google.com/machine-learning/glossary/)

topicos/blogs-jornais.md

@@ -17,8 +17,8 @@
 - [DataCamp](https://www.datacamp.com/community/blog)
 - [Dataquest](https://www.dataquest.io/blog)
 - [OpenAI](https://blog.openai.com/)
-- [Big Data Business](http://www.bigdatabusiness.com.br) [**pt-br**]
-- [Hekima](http://developers.hekima.com) [**pt-br**]
+- [Big Data Business](http://www.bigdatabusiness.com.br) | [**pt-br**]
+- [Hekima](http://developers.hekima.com) | [**pt-br**]
 - [DeepGraph](http://deepgraph.io/blog/)
 
 

topicos/carreira.md

@@ -4,13 +4,13 @@
 ## Vídeos
   - [How to Become a Data Scientist in 2017?](https://youtu.be/ccCblUZFM0w)
   - [How to become a Data Scientist in 6 months a hacker’s approach...](https://www.youtube.com/watch?v=rIofV14c0tc)
-  - [As novas profissões do mundo de dados](https://www.youtube.com/watch?v=DYSYHiNh9LE)
-  - [Desafios de Big Data no Brasil](https://www.youtube.com/watch?v=oPgvUllQFPc)
+  - [As novas profissões do mundo de dados](https://www.youtube.com/watch?v=DYSYHiNh9LE) | [**pt-br**]
+  - [Desafios de Big Data no Brasil](https://www.youtube.com/watch?v=oPgvUllQFPc)| [**pt-br**]
 
 
 ## Matérias
   - [Data Scientist - The Sexiest job of the 21st century](https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century)
-  - [Primeiros passos com Data Science](http://www.lerrua.com/blog/2016/03/08/primeiros-passos-com-data-science/) - [en](http://www.lerrua.com/blog/2016/03/17/getting-started-with-data-science/)
+  - [Primeiros passos com Data Science](http://www.lerrua.com/blog/2016/03/08/primeiros-passos-com-data-science/) | [**pt-br**] - [en](http://www.lerrua.com/blog/2016/03/17/getting-started-with-data-science/)
 
 ## Sugestões
 

topicos/cursos.md

@@ -4,15 +4,17 @@
 
 | Nome | Cidade | Tipo |
 | :---: | :---: | :---: |
-|[Análise Estratégica e Ciência de Dados](http://www.unisul.br/wps/portal/home/ensino/especializacao-e-mba/analise-estrategica-e-ciencia-de-dados-florianopolis/) | Florianópolis | Pós-Graduação |
-|[Engenharia e Ciência de Dados](http://www.unisul.br/wps/portal/home/ensino/especializacao-e-mba/engenharia-e-ciencia-de-dados-florianopolis/?unidade=28) |  Florianópolis  | Pós-Graduação |
+|[Análise Estratégica e Ciência de Dados](http://www.unisul.br/wps/portal/home/ensino/especializacao-e-mba/analise-estrategica-e-ciencia-de-dados-florianopolis/) | Florianópolis | Pós-Graduação | [**pt-br**]
+|[Engenharia e Ciência de Dados](http://www.unisul.br/wps/portal/home/ensino/especializacao-e-mba/engenharia-e-ciencia-de-dados-florianopolis/?unidade=28) |  Florianópolis  | Pós-Graduação | [**pt-br**]
+
 
 
 ## Online
 
 ### Outras plataformas
 
   - [Programa profissional da Microsoft para trilha de ciência de dados](https://academy.microsoft.com/en-us/tracks/data-science/)
+
   - [Programa profissional da Microsoft para trilha de big data](https://academy.microsoft.com/en-us/tracks/big-data/)
   - [Programa profissional da Microsoft para trilha de inteligência artificial](https://academy.microsoft.com/en-us/tracks/artificial-intelligence/)
   - [Statistical Learning ministrada por professores da Stanford University](https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/about)
@@ -39,8 +41,10 @@ Cursos oferecidos pela plataforma [edx.org](https://www.edx.org/).
 - [Introduction to Computational Thinking and Data Science](https://www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-6)(Massachusetts Institute of Technology)
 - [Introduction to Computer Science and Programming Using Python](https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-11)(Massachusetts Institute of Technology)
 
-### DataScience Academy
+### DataScience Academy | [**pt-br**]
+
   - [Introdução à Ciência de Dados](https://www.datascienceacademy.com.br/course?courseid=introduo--cincia-de-dados)
+
   - [Big Data Fundamentos](https://www.datascienceacademy.com.br/public-course?courseid=big-data-fundamentos)
   - [Python Fundamentos para Análise de Dados](https://www.datascienceacademy.com.br/public-course?courseid=python-fundamentos)
   - [R Fundamentos para Análise de Dados](https://www.datascienceacademy.com.br/public-course?courseid=r---fundamentos-para-anlise-de-dados)
@@ -58,7 +62,7 @@ Cursos oferecidos pela plataforma [edx.org](https://www.edx.org/).
 
 ### Udacity
   - [Fundamentos de Data Science I](https://br.udacity.com/course/fundamentos-data-science-i-python--nd110/) [**pt-br**]
-  - [Introdução à Análise de Dados](https://br.udacity.com/course/intro-to-data-analysis--ud170/)
+  - [Introdução à Análise de Dados](https://br.udacity.com/course/intro-to-data-analysis--ud170/) | [**pt-br**]
   - [Fundamentos da Programação com Python](https://br.udacity.com/course/programming-foundations-with-python--ud036/)
   - [Introdução à Ciência de Dados](https://br.udacity.com/course/intro-to-data-science--ud359/)
   - [Intro to Relational Databases](https://br.udacity.com/course/intro-to-relational-databases--ud197/)

topicos/deep-learning.md

@@ -13,7 +13,7 @@
 - [Deep Learning: A Practioner's Approach - Josh Patterson e Adam Gibson](https://www.amazon.com.br/Deep-Learning-Practitioners-Josh-Patterson-ebook/dp/B074D5YF1D?__mk_pt_BR=%C3%85M%C3%85%C5%BD%C3%95%C3%91&keywords=deep+learning&qid=1538425300&s=STRING%28br-books-storename%29&sr=1-4&ref=sr_1_4)
 
 ## Grupos
-- [Machine & Deep Learning Brasil - Facebook](https://www.facebook.com/groups/machinedeeplearningbrasil/)
+- [Machine & Deep Learning Brasil - Facebook](https://www.facebook.com/groups/machinedeeplearningbrasil/) | [**pt-br**]
 
 ## Cursos
 - [Deep Learning Specialization - Coursera by Andrew Ng](https://www.coursera.org/specializations/deep-learning)
@@ -30,4 +30,4 @@
 - [Deep Learning Achievements Over the Past Year](https://blog.statsbot.co/deep-learning-achievements-4c563e034257)
 
 ## Posts
-- [Classificando textos com Redes Neurais e TensorFlow](http://deborahmesquita.com/2017-05-07/classificando-textos-com-redes-neurais-e-tensorflow)
+- [Classificando textos com Redes Neurais e TensorFlow](http://deborahmesquita.com/2017-05-07/classificando-textos-com-redes-neurais-e-tensorflow) | [**pt-br**]

topicos/geociencias.md

@@ -15,4 +15,4 @@
   - [Python for Geo-people - 2017](https://geo-python.github.io/2017/)
   - [Introduction to Quantitative Geology](https://introqg.github.io/2017/)
   - [Automating GIS processes - 2017](https://automating-gis-processes.github.io/2017/)
-  - **PT-BR** [Colocando pontos num mapa com Folium](http://jtemporal.com/folium/)
+  - [Colocando pontos num mapa com Folium](http://jtemporal.com/folium/) | [**pt-br**]

topicos/livros.md

@@ -1,13 +1,13 @@
 # Livros
 
 ## Iniciantes
-  - [Data Science do Zero. Primeiras Regras com o Python](https://books.google.com.br/books/about/DATA_SCIENCE_DO_ZERO.html?id=EWJCvgAACAAJ&redir_esc=y)
+  - [Data Science do Zero. Primeiras Regras com o Python](https://books.google.com.br/books/about/DATA_SCIENCE_DO_ZERO.html?id=EWJCvgAACAAJ&redir_esc=y) | [**pt-br**]
   - [Bad Data Handbook](https://books.google.com.br/books?id=J6jTaDSg3sYC&printsec=frontcover&dq=Bad+Data&hl=pt-BR&sa=X&ved=0ahUKEwjqgfX0-5PVAhUBF5AKHd0vDDMQ6AEIJjAA#v=onepage&q=Bad%20Data&f=false)
   - [Julia for Data Science](https://books.google.com.br/books?id=Bn9cDgAAQBAJ&printsec=frontcover&dq=Julia+for+data+science&hl=pt-BR&sa=X&ved=0ahUKEwjVybvF_ZPVAhUKOZAKHQd_BIkQ6AEIJjAA#v=onepage&q=Julia%20for%20data%20science&f=false)
   - [Mastering Python Data Analysis](https://books.google.com.br/books?id=_vtvDQAAQBAJ&printsec=frontcover&dq=Mastering+Python+Scientific+Computing&hl=pt-BR&sa=X&ved=0ahUKEwjb1vLI_pPVAhWFi5AKHVCICccQ6AEINzAC#v=onepage&q=Mastering%20Python%20Scientific%20Computing&f=false)
   - [Mastering Python Scientific Computing](https://books.google.com.br/books?id=6NROCwAAQBAJ&printsec=frontcover&dq=Mastering+Python+Scientific+Computing&hl=pt-BR&sa=X&ved=0ahUKEwjb1vLI_pPVAhWFi5AKHVCICccQ6AEIJjAA#v=onepage&q=Mastering%20Python%20Scientific%20Computing&f=false)
   - [Python Data Science Handbook](https://github.com/jakevdp/PythonDataScienceHandbook): disponível em Jupyter notebooks
-  - [Data Science para Negócios: O que você precisa saber sobre mineração de dados e pensamento analítico de dados](https://books.google.com.br/books?id=c4lAvgAACAAJ&dq=Data+Science+para+Neg%C3%B3cios:+O+que+voc%C3%AA+precisa+saber+sobre+minera%C3%A7%C3%A3o+de+dados+e+pensamento+anal%C3%ADtico+de+dados&hl=pt-BR&sa=X&ved=0ahUKEwiw1u_TgvjWAhVHk5AKHc62D2EQ6AEIJzAA)
+  - [Data Science para Negócios: O que você precisa saber sobre mineração de dados e pensamento analítico de dados](https://books.google.com.br/books?id=c4lAvgAACAAJ&dq=Data+Science+para+Neg%C3%B3cios:+O+que+voc%C3%AA+precisa+saber+sobre+minera%C3%A7%C3%A3o+de+dados+e+pensamento+anal%C3%ADtico+de+dados&hl=pt-BR&sa=X&ved=0ahUKEwiw1u_TgvjWAhVHk5AKHc62D2EQ6AEIJzAA) | [**pt-br**]
   - [Data Science Live Book](https://livebook.datascienceheroes.com)
   - [Think stats](http://greenteapress.com/wp/think-stats-2e/)
   - R for Data Science (R4DS): [livro](http://r4ds.had.co.nz/), [livro com notas e soluções dos exercícios do R4DS](https://jrnold.github.io/r4ds-exercise-solutions/) e [grupo de estudo do R4DS no Slack](https://medium.com/@kierisi/r4ds-the-next-iteration-d51e0a1b0b82).

topicos/noticias-legais.md

@@ -12,17 +12,17 @@
 <h2 id="conceitos">Conceitos</h2>
 
  * [Data Science and Big Data: Two very Different Beasts](https://www.linkedin.com/pulse/data-science-big-two-very-different-beasts-sean-mcclure-ph-d-?trk=prof-post)
- * **PT-BR** [A Lei de Benford e a beleza dos números](http://jtemporal.com/benford-law/)
+ * [A Lei de Benford e a beleza dos números](http://jtemporal.com/benford-law/) | [**pt-br**]
  * [What's the difference between data science, machine learning and artificial intelligence](http://varianceexplained.org/r/ds-ml-ai/)
  * [What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?](https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/)
- * **PT-BR** [Um breve estudo sobre outliers](http://leportella.com/pt-br/2018/01/08/um-breve-estudo-sobre-outliers.html)
+ * [Um breve estudo sobre outliers](http://leportella.com/pt-br/2018/01/08/um-breve-estudo-sobre-outliers.html) | [**pt-br**]
  * [Common Probability Distributions: The Data Scientist’s Crib Sheet](https://blog.cloudera.com/blog/2015/12/common-probability-distributions-the-data-scientists-crib-sheet/)
 
 <h2 id="curiosidades">Curiosidades</h2>
 
  * [15 Insane Things That Correlate With Each Other](http://www.tylervigen.com/spurious-correlations)
  * [Researches perfectly reconstruct faces by reading brainwaves](https://singularityhub.com/2017/06/14/forget-police-sketches-researchers-perfectly-reconstruct-faces-by-reading-brainwaves/)
- * **PT-BR** [Inteligência Artificial pos a prova psicografia de Chico Xavier](https://super.abril.com.br/historia/inteligencia-artificial-pos-a-prova-psicografia-de-chico-xavier/)
+ * [Inteligência Artificial pos a prova psicografia de Chico Xavier](https://super.abril.com.br/historia/inteligencia-artificial-pos-a-prova-psicografia-de-chico-xavier/) | [**pt-br**]
 
 <h2 id="dados-na-vida-real">Dados na vida real</h2>
 
@@ -34,6 +34,6 @@
 <h2 id="ferramentas">Ferramentas</h2>
 
  * [Jupyter Notebook Tutorial: The Definitive Guide](https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook#gs.4lsldtI)
- * **PT-BR** [10 dicas para mudar do Matlab pro Python](http://leportella.com/pt-br/2017/05/06/10-dicas-matlab-para-python.html)
+ * [10 dicas para mudar do Matlab pro Python](http://leportella.com/pt-br/2017/05/06/10-dicas-matlab-para-python.html) | [**pt-br**]
 
 

topicos/podcasts.md

@@ -3,8 +3,8 @@
 
 ## Específicos
 
-- **PT-BR** [Pizza de Dados](https://pizzadedados.com) 
-- Lista de podcasts de Data Science oeferecidos pela O'Reilly ([SoundCloud](https://soundcloud.com/oreilly-radar/sets/the-oreilly-data-show-podcast)) 
+- [Pizza de Dados](https://pizzadedados.com) | [**pt-br**]
+- Lista de podcasts de Data Science oeferecidos pela O'Reilly ([SoundCloud](https://soundcloud.com/oreilly-radar/sets/the-oreilly-data-show-podcast))
 - Podcast: Data Science from scratch (in Python) ([SoundCloud](https://soundcloud.com/talkpython/56-data-science-from-scratch))
 - [Super data science podcast](https://www.superdatascience.com/podcast/)
 - [Becoming a Data Scientist](https://www.becomingadatascientist.com/category/podcast/)

topicos/processamento-de-linguagem-natural.md

@@ -3,13 +3,13 @@
 
 <h2 id="conceitos">Posts</h2>
 
-* **PT-BR** [Brincando de NLP com spaCY](http://leportella.com/pt-br/2017/11/30/brincando-de-nlp-com-spacy.html)
+* [Brincando de NLP com spaCY](http://leportella.com/pt-br/2017/11/30/brincando-de-nlp-com-spacy.html) | [**pt-br**]
 * [Why you don't need AI to build a chatbot](https://hackernoon.com/why-you-dont-need-ai-to-build-a-chatbot-fe8577f248f8)
 
 <h2 id="conceitos">Artigos</h2>
 
-* [Lingüística computacional: princípios e aplicações](http://www.inf.pucrs.br/linatural/Recursos/jaia-2001.pdf)
-* [Desafios do Processamento de Línguas Naturais](http://www.inf.pucrs.br/linatural/Recursos/Desafios.pdf)
+* [Linguística computacional: princípios e aplicações](http://www.inf.pucrs.br/linatural/Recursos/jaia-2001.pdf) | [**pt-br**]
+* [Desafios do Processamento de Línguas Naturais](http://www.inf.pucrs.br/linatural/Recursos/Desafios.pdf) | [**pt-br**]
 
 <h2 id="conceitos">Livros</h2>
 * [Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit - Steven Bird, Ewan Klein e Edward Loper](https://www.amazon.com/Natural-Language-Processing-Python-Analyzing/dp/0596516495)
@@ -19,4 +19,4 @@
 
 <h2 id="palestras">Palestras</h2>
 
-* [Chatbots e NLP - Diego Dorgam - Rocketchat - 2º Meetup PyData Brasília](https://www.youtube.com/watch?v=Op36eWLVhwk) - Duração: 1h34min
+* [Chatbots e NLP - Diego Dorgam - Rocketchat - 2º Meetup PyData Brasília](https://www.youtube.com/watch?v=Op36eWLVhwk) - Duração: 1h34min | [**pt-br**]

topicos/visualizacao-de-dados.md

@@ -13,7 +13,7 @@
   - [Learn D3.js for free](https://scrimba.com/g/gd3js)
 
 ## Tutoriais
-  - PT-BR [Desafios e tendências da visualização de dados – DataViz Basics: 1 de 4](http://www.dp6.com.br/desafios-da-visualizacao-de-dados-dataviz-basics-1-de-4/)
+  - [Desafios e tendências da visualização de dados – DataViz Basics: 1 de 4](http://www.dp6.com.br/desafios-da-visualizacao-de-dados-dataviz-basics-1-de-4/) | [**pt-br**]
   - [Create High-Impact Data Visualizations: Nine Effective Strategies](https://www.kaushik.net/avinash/create-high-impact-effective-data-visualizations/)
   - [Emery's Essentials](http://annkemery.com/essentials/)
   - [The Data Visualisation Catalogue](http://datavizcatalogue.com/)
@@ -29,7 +29,7 @@
   - [dataviz.love](http://dataviz.love/)
   - [Questions in Dataviz](https://questionsindataviz.wordpress.com/)
   - [Visualising Data](http://www.visualisingdata.com/)
-  - PT-BR [We Viz](http://www.weviz.com/)
+  - [We Viz](http://www.weviz.com/) | [**pt-br**]
   - [WTF Visualizations](http://viz.wtf/)
   - [The Python Graph Gallery](https://python-graph-gallery.com/)
   - [Storytelling with data](http://www.storytellingwithdata.com/)