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Ciência de Dados Complexos

Ciência de Dados Complexos

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Canal sobre Ciência de Dados e IA, onde divulgamos livros, tutoriais, cursos, palestras e muito mais. Tudo gratuito. Gerenciado pelo prof. Francisco Rodrigues (USP). Aulas online sobre Estatística e CD no Youtube: https://youtube.com/franciscorodrigues

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Workshop: “Inteligência artificial, Graduação e Química” https://www.youtube.com/watch?v=ufydN4XP0qA

- Geph - https://gephi.org - Gephisto- https://lnkd.in/diSp3BWN - VOSviewer - https://www.vosviewer.com - Cytoscape - https:/
- Geph - https://gephi.org - Gephisto- https://lnkd.in/diSp3BWN - VOSviewer - https://www.vosviewer.com - Cytoscape - https://cytoscape.org - Kumu - https://kumu.io - GraphInsight - https://lnkd.in/d5XnkWJr - NodeXL - https://nodexl.com - Orange - https://lnkd.in/dZU8Zx3D - Graphia - https://graphia.app - Graphistry - https://www.graphistry.com - SocNetV - https://socnetv.org - Tulip - https://lnkd.in/dtc_BD33 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐥𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧: - networkx - https://lnkd.in/dKCCXjif - graphviz - https://lnkd.in/dtrTeqRv - pydot - https://lnkd.in/dA46YZvy - python-igraph - https://lnkd.in/dCGsRXh2 - pyvis - https://lnkd.in/dVrQ64nN - ipycytoscape - https://lnkd.in/d-hJjDdG - pygsp - https://lnkd.in/dS7s-A_v - graph-tool - https://lnkd.in/dvytUzdu - nxviz - https://lnkd.in/duHbKGPN - py2cytoscape - https://lnkd.in/dWUU8TZH - ipydagred3 - https://lnkd.in/diXgFWMD - ipysigma - https://lnkd.in/dP55J5et - Py3Plex - https://lnkd.in/dhwe7f_g - net wulf - https://lnkd.in/dxrHAm2P

- Geph - https://gephi.org - Gephisto- https://lnkd.in/diSp3BWN - VOSviewer - https://www.vosviewer.com - Cytoscape - https://cytoscape.org - Kumu - https://kumu.io - GraphInsight - https://lnkd.in/d5XnkWJr - NodeXL - https://nodexl.com - Orange - https://lnkd.in/dZU8Zx3D - Graphia - https://graphia.app - Graphistry - https://www.graphistry.com - SocNetV - https://socnetv.org - Tulip - https://lnkd.in/dtc_BD33 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐥𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧: - networkx - https://lnkd.in/dKCCXjif - graphviz - https://lnkd.in/dtrTeqRv - pydot - https://lnkd.in/dA46YZvy - python-igraph - https://lnkd.in/dCGsRXh2 - pyvis - https://lnkd.in/dVrQ64nN - ipycytoscape - https://lnkd.in/d-hJjDdG - pygsp - https://lnkd.in/dS7s-A_v - graph-tool - https://lnkd.in/dvytUzdu - nxviz - https://lnkd.in/duHbKGPN - py2cytoscape - https://lnkd.in/dWUU8TZH - ipydagred3 - https://lnkd.in/diXgFWMD - ipysigma - https://lnkd.in/dP55J5et - Py3Plex - https://lnkd.in/dhwe7f_g - net wulf - https://lnkd.in/dxrHAm2P- Geph - https://gephi.org - Gephisto- https://lnkd.in/diSp3BWN - VOSviewer - https://www.vosviewer.com - Cytoscape - https://cytoscape.org - Kumu - https://kumu.io - GraphInsight - https://lnkd.in/d5XnkWJr - NodeXL - https://nodexl.com - Orange - https://lnkd.in/dZU8Zx3D - Graphia - https://graphia.app - Graphistry - https://www.graphistry.com - SocNetV - https://socnetv.org - Tulip - https://lnkd.in/dtc_BD33 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐥𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧: - networkx - https://lnkd.in/dKCCXjif - graphviz - https://lnkd.in/dtrTeqRv - pydot - https://lnkd.in/dA46YZvy - python-igraph - https://lnkd.in/dCGsRXh2 - pyvis - https://lnkd.in/dVrQ64nN - ipycytoscape - https://lnkd.in/d-hJjDdG - pygsp - https://lnkd.in/dS7s-A_v - graph-tool - https://lnkd.in/dvytUzdu - nxviz - https://lnkd.in/duHbKGPN - py2cytoscape - https://lnkd.in/dWUU8TZH - ipydagred3 - https://lnkd.in/diXgFWMD - ipysigma - https://lnkd.in/dP55J5et - Py3Plex - https://lnkd.in/dhwe7f_g - net wulf - https://lnkd.in/dxrHAm2P- Geph - https://gephi.org - Gephisto- https://lnkd.in/diSp3BWN - VOSviewer - https://www.vosviewer.com - Cytoscape - https://cytoscape.org - Kumu - https://kumu.io - GraphInsight - https://lnkd.in/d5XnkWJr - NodeXL - https://nodexl.com - Orange - https://lnkd.in/dZU8Zx3D - Graphia - https://graphia.app - Graphistry - https://www.graphistry.com - SocNetV - https://socnetv.org - Tulip - https://lnkd.in/dtc_BD33 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐥𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧: - networkx - https://lnkd.in/dKCCXjif - graphviz - https://lnkd.in/dtrTeqRv - pydot - https://lnkd.in/dA46YZvy - python-igraph - https://lnkd.in/dCGsRXh2 - pyvis - https://lnkd.in/dVrQ64nN - ipycytoscape - https://lnkd.in/d-hJjDdG - pygsp - https://lnkd.in/dS7s-A_v - graph-tool - https://lnkd.in/dvytUzdu - nxviz - https://lnkd.in/duHbKGPN - py2cytoscape - https://lnkd.in/dWUU8TZH - ipydagred3 - https://lnkd.in/diXgFWMD - ipysigma - https://lnkd.in/dP55J5et - Py3Plex - https://lnkd.in/dhwe7f_g - net wulf - https://lnkd.in/dxrHAm2P

Livro em pdf: The Principles of Deep Learning Theory https://arxiv.org/abs/2106.10165

Acabei de publicar um artigo em que reviso conceitos de aprendizado de máquina e discuto como usa-los em física. Também discuto conceitos avançados, como causalidade, regressão simbólica e physics informed machine learning. Sairá na revista Europhysics Letters. Aproveite!

O boxplot é um tipo de gráfico bastante importante, mas há várias alternativas interessantes. Esse link mostra várias delas:
O boxplot é um tipo de gráfico bastante importante, mas há várias alternativas interessantes. Esse link mostra várias delas: https://z3tt.github.io/beyond-bar-and-box-plots/

Livro disponível online: https://brasileiraspln.com/livro-pln/
Livro disponível online: https://brasileiraspln.com/livro-pln/

Hoje às 19:30h 📺 Ocorrerá a live sobre como alavancar sua carreira com Ciências de Dados 🖥 Contando com a participação dos
Hoje às 19:30h 📺 Ocorrerá a live sobre como alavancar sua carreira com Ciências de Dados 🖥 Contando com a participação dos professores Francisco Louzada, Francisco Rodrigues e Luis Gustavo Nonato do ICMC - USP, e também com Artur Andrade, CEO da mobway 🔗Só clicar no link: https://youtube.com/live/QbOg5zCMU90 Nos vemos mais tarde!

Para quem tem interesse em análise de redes sociais, nosso trabalho foi descrito no Jornal da USP: https://jornal.usp.br/ciencias/ciencias-isolamento-e-coesao-dos-grupos-de-direita-facilitaram-propagacao-coordenada-nas-eleicoes/

Livro disponível em pdf: Bayesian Reasoning and Machine Learning http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/240415.pdf
Livro disponível em pdf: Bayesian Reasoning and Machine Learning http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/240415.pdf

A Comprehensive Guide to Machine Learning

Sites para quem está procurando vagas remotas: 1 - Landing Jobs - https://landing.jobs/ 2 - Trampos - https://trampos.co/oportunidades/ 3 - italki - https://www.italki.com/pt 4 - UpWork - https://www.upwork.com/ 5 - Virtual Vocations - https://www.virtualvocations.com/ 6 - Authentic Jobs - https://authenticjobs.com/ 7 - Working Nomads - https://www.workingnomads.com/jobs 8 - Remotar - https://remotar.com.br/ 9 - Jobatus Brasil - https://www.jobatus.com.br/

Palestra online na USP dia 16/09 às 8:30h: https://www.youtube.com/watch?v=cbXK9Z92Dfc

Curso sobre topologia em Ciência de Dados: Topological Data Analysis for Machine Learning https://bastian.rieck.me/talks/ecml
Curso sobre topologia em Ciência de Dados: Topological Data Analysis for Machine Learning https://bastian.rieck.me/talks/ecml_pkdd_2020/

Para quem gosta de matemática e filosofia, segue um novo texto que publiquei no Medium: https://francisco-rodrigues.medium.com/o-grande-mist%C3%A9rio-da-matem%C3%A1tica-b5a408be012f

Ciência de Dados Complexos - Telegram 频道 @cdcomplexos 的统计与分析