{"id":13998214,"url":"https://github.com/AlissonRP/FreeStats","last_synced_at":"2025-07-23T06:30:57.097Z","repository":{"id":117149209,"uuid":"517169521","full_name":"AlissonRP/FreeStats","owner":"AlissonRP","description":"Caminho para estudo da Estatística de maneira independente ","archived":false,"fork":false,"pushed_at":"2023-09-27T14:32:55.000Z","size":107,"stargazers_count":29,"open_issues_count":2,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-08-10T19:16:28.703Z","etag":null,"topics":["machine-learning","self-learning","statistics"],"latest_commit_sha":null,"homepage":"","language":"Scala","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AlissonRP.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2022-07-23T21:38:39.000Z","updated_at":"2024-06-13T18:25:45.000Z","dependencies_parsed_at":"2024-01-15T19:44:12.478Z","dependency_job_id":"4194bf0c-bf75-4d16-88e0-ee3255ef6b5c","html_url":"https://github.com/AlissonRP/FreeStats","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlissonRP%2FFreeStats","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlissonRP%2FFreeStats/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlissonRP%2FFreeStats/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlissonRP%2FFreeStats/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AlissonRP","download_url":"https://codeload.github.com/AlissonRP/FreeStats/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":227245137,"owners_count":17753239,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["machine-learning","self-learning","statistics"],"created_at":"2024-08-09T19:01:29.063Z","updated_at":"2024-11-30T00:31:17.745Z","avatar_url":"https://github.com/AlissonRP.png","language":"Scala","funding_links":[],"categories":["Scala"],"sub_categories":[],"readme":"\n\u003ccenter\u003e \u003ch1\u003e Free Stats\u003c/h1\u003e \u003c/center\u003e\n\n\n\u003cp align=\"center\"\u003e\u003cimg align=\"center\" src=\"img/stats.png\" height=\"160px\" width=\"170\"/\u003e\u003c/p\u003e\n\nA importância do conhecimento estatístico é inegável em diversas áreas de estudo contemporâneas. No entanto, é comum que a maioria dos estudantes tenha acesso apenas a um entendimento superficial dessa disciplina durante seus cursos acadêmicos. No mundo real, as demandas e complexidades que envolvem a aplicação da Estatística são muito mais abrangentes. Portanto, a necessidade de adquirir proficiência Estatística vai além do domínio dos conceitos básicos.\n\nDiante dessa lacuna entre o conhecimento estatístico adquirido na academia e as habilidades necessárias na prática, surge a motivação para oferecer um guia que permita as pessoas estudarem Estatística de forma independente e aprofundada. Esse caminho de estudo independente visa equipar os estudantes com as competências necessárias para enfrentar desafios estatísticos complexos em suas respectivas áreas de atuação, promovendo uma compreensão mais sólida e aplicável da Estatística.\n\nO foco é a **teoria** Estatística, uma área que, no cenário atual, muitas vezes permanece subexposta nos currículos dos cursos oferecidos pelas universidades brasileiras, assim o conteúdo será desenvolvido nos seguintes Módulos\n\u003ccenter\u003e \u003ch2\u003eGrade\u003c/h2\u003e \u003c/center\u003e\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003e MÓDULO 0 \u003c/summary\u003e\nEsse Módulo contém os requisitos mínimos para se começar estudar Estatística, é de fundamental importância que os conceitos aqui apresentados estejam bastante sedimentados pois serão utilizados inúmeras vezes ao longo dos seus estudos.\n\nO que vai aprender:\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eLógica Básica\u003c/summary\u003e\nLógica é o requisito básico para o estudo formal de qualquer área, assim aqui se compreende as seguintes noções básicas:\n\n\n* Quantificadores universais e existenciais\n* Tabelas-verdade\n* Sentenças condicionais e implicativas\n* Sistemas Axiomáticos e Sistemas Formais\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eTeoria dos conjuntos\u003c/summary\u003e\n\nTeoria dos conjuntos é **primordial** para um estudo sério de probabilidade, nessa subseção, vamos unir o que foi aprendido em lógica básica com os fundamentos de teoria dos conjuntos.\n\n\n* \"Principais\" axiomas da teoria dos conjuntos\n* Operações com conjuntos\n* Propriedades e demonstrações usando teoria dos conjuntos\n* Relações e funções\n\n\n\u003c/details\u003e\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eMatemática Básica\u003c/summary\u003e\n\nAqui vamos unificar toda a teoria até agora ensinada\n* Tipos de funções\n* Técnicas de demonstrações\n\n\u003c/details\u003e\n\u003c/details\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003e MÓDULO 1 \u003c/summary\u003e\n\nNesse módulo começa-se o aprendizado de matemática **fundamental** para a Estatística, sendo portanto estudado:\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003e Cálculo I\u003c/summary\u003e\n\nCálculo é peça chave para cálculo de probabilidades, portanto é **muito** importante que você tenha um bom domínio para conseguir avançar seus estudos, aqui você vai aprender:\n* Limites\n* Derivadas\n* Integrais\n\n\nO que vai aprender:\n\u003c/details\u003e\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003e Álgebra Linear\u003c/summary\u003e\nConforme se avança no estudo da Estatística, torna-se evidente que muitos modelos estatísticos podem ser formulados e compreendidos por meio de matrizes e vetores. Na verdade, à medida que se aprofunda na Estatística, percebe-se que a Álgebra Linear desempenha um papel crucial na unificação e na simplificação de diversos conceitos. , portanto aqui é necessário que você aprenda:\n\n* Operações com vetores e matrizes\n* Solução de sistemas\n* Espaços vetoriais\n* Determinante\n* Transformações lineares\n* Autovetores e Autovalores\n\n\nO que vai aprender:\n\u003c/details\u003e\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eGeometria Analítica\u003c/summary\u003e\nO principal objetivo desta disciplina é combinação com a álgebra linear visando a preparação adequada para o estudo subsequente de Cálculo II.\n\n\n\n\n\n\u003c/details\u003e\n\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eMÓDULO 2\u003c/summary\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eFormalização de conceitos\u003c/summary\u003e\n\n\n\n\n\n\n\u003c/details\u003e\n\n\n\n\u003c/details\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eMÓDULO 3\u003c/summary\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eProbabilidade\u003c/summary\u003e\n\n\n\n\n\n\n\u003c/details\u003e\n\n\n\n\u003c/details\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eMÓDULO 4\u003c/summary\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eInferência Estatística\u003c/summary\u003e\n\n* Inferênca Estatística Clássica\n* Inferência Bayesiana\n\n\n\n\u003c/details\u003e\n\n\n\n\u003c/details\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eMODULO 5\u003c/summary\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eModelagem Estatística\u003c/summary\u003e\n\n* Regressão Linear\n* Modelos Lineares Generalizados\n* Séries Temporais\n* Análise de Sobrevivência\n* Machine Learning\n* Deep Learning\n\n\n\n\n\u003c/details\u003e\n\n\n\n\u003c/details\u003e\n\n\n\u003cbr/\u003e\n\nO principal caminho de guia será livros, entretanto algumas disciplinas também é disponibilizado links para video-aulas que estão abertas ao público.  \n  \n## Módulo 0\nA Estatística é, formalmente, uma disciplina matemática. Uma característica intrínseca à matemática é sua abordagem escalonada, em que a aprendizagem de determinados conceitos se baseia em fundamentos previamente adquiridos. Nesse contexto, aqui também seguimos essa abordagem, onde é imperativo construir uma base sólida para avançar com sucesso.\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n\n* **Lógica**:  \n  *  [Introdução à lógica - Mortari](https://www.amazon.com.br/Introdução-à-lógica-Cezar-Mortari/dp/8539306301/ref=sr_1_1?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=2JW47B25LCP3C\u0026keywords=lógica+mortari\u0026qid=1640056489\u0026sprefix=lógica+mortari%2Caps%2C206\u0026sr=8-1)\n  *  [Introduction to Logic and to the Methodology of the Deductive Sciences - Tarski](https://www.amazon.com.br/Introduction-Methodology-Deductive-Sciences-English-ebook/dp/B003VYBPYC/ref=sr_1_1?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=3F8TUZBVWNVW7\u0026keywords=introduction+to+logic+and+deductive\u0026qid=1640056592\u0026sprefix=introduction+to+logic+and+deductive%2Caps%2C200\u0026sr=8-1\u0026ufe=app_do%3Aamzn1.fos.25548f35-0de7-44b3-b28e-0f56f3f96147)\n* **Teoria dos conjuntos**: \n  *  [Classic Set Theory: For Guided Independent Study -  D.C. Goldrei ](https://www.amazon.com/Classic-Set-Theory-Independent-Mathematics-ebook/dp/B075FCTRKP)\n  *  [Introduction to Set Theory - Harberk](https://www.amazon.com.br/Introduction-Set-Theory-Revised-Expanded/dp/0824779150/ref=sr_1_1?keywords=introduction+to+set+theory\u0026qid=1640056727\u0026sprefix=introductio+to+set+t%2Caps%2C208\u0026sr=8-1\u0026ufe=app_do%3Aamzn1.fos.25548f35-0de7-44b3-b28e-0f56f3f96147)\n* **Matemática Elementar**: \n  *  [A Transition to Advanced Mathematics](https://www.amazon.com.br/Transition-Advanced-Mathematics-Douglas-Smith/dp/1285463269/ref=sr_1_2?keywords=a+transition+to+advanced+mathematics\u0026qid=1640056869\u0026sprefix=A+transition+%2Caps%2C194\u0026sr=8-2\u0026ufe=app_do%3Aamzn1.fos.25548f35-0de7-44b3-b28e-0f56f3f96147)\n  *  [Book of Proof](https://www.amazon.com.br/Book-Proof-Richard-H-Hammack/dp/0989472124/ref=sr_1_1?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=39KWBAR1K6YF8\u0026keywords=Book+of+proof\u0026qid=1640056916\u0026sprefix=book+of+proof%2Caps%2C201\u0026sr=8-1\u0026ufe=app_do%3Aamzn1.fos.db68964d-7c0e-4bb2-a95c-e5cb9e32eb12)\n\u003c/details\u003e\n\n| Disciplina                                                                                                  |  Duração  | Playlist |\n| :---------------------------------------------------------------------------------------------------------- | :-------:  | :-------: \n| **Lógica**                                                                     | 8 Semanas | [:link:](https://cmortari.prof.ufsc.br)  | :notebook:  |       -        |\n| **Teoria Dos conjuntos** | 5 Semanas | [:link:](https://www.youtube.com/watch?v=S3_3LSJqgVg\u0026list=PL5Dg8nFln2eVou0YbxuUiYWmjPuxTLAYe) | A pensar  |       -        |\n| **Matemática Elementar**                            | 9 semanas |   Bibliografia   |  pois é   |       -        |\n\n## Módulo 1\nCada jornada tem um ponto de partida e, nesta situação, não é diferente. Neste módulo, a fundação para o aprendizado de matemática de nível superior será estabelecida. É um momento crucial, pois construir uma compreensão sólida desses conceitos é essencial para o seu progresso adiante\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n* **Cálculo de uma variável (Cálculo I)**\n  * [Cálculo Volume 1 - Stewart](https://www.amazon.com.br/C-C3-A1lculo-vol-I-James-Stweart-dp-852212583X/dp/852212583X/ref=dp_ob_title_bk)\n  * [Cálculo I: Cálculo com funções de uma variável, com uma introdução à Álgebra Linear](https://www.amazon.com.br/Cálculo-Cálculo-com-funçoes-variável-ebook/dp/B092JJ3GLX/ref=sr_1_2?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=28B98HTWMY86J\u0026keywords=calculo+apostol\u0026qid=1647019118\u0026s=digital-text\u0026sprefix=calculo+aposto%2Cdigital-text%2C209\u0026sr=1-2)     \n* **Geometria Analítica**  \n  * [Vetores e geometria analítica - Paulo Winterle](https://www.amazon.com.br/Vetores-geometria-analítica-Paulo-Winterle-ebook/dp/B013H5WJW6/ref=sr_1_4?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=3GAAZRQ23SBJF\u0026keywords=geometria+analitica\u0026qid=1647019195\u0026s=digital-text\u0026sprefix=geometria+analitic%2Cdigital-text%2C209\u0026sr=1-4)\n* **Álgebra Linear**  \n  * [Introduction to Linear Algebra - Gilbert Strang](https://www.amazon.com.br/Introduction-Linear-Algebra-Gilbert-Strang/dp/0980232775/ref=sr_1_1?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=3JS9OO700HGK2\u0026keywords=linear+algebra+gilbert\u0026qid=1647019298\u0026sprefix=linear+algebra+gilbert%2Caps%2C205\u0026sr=8-1)\n  * [Linear Algebra - Hoffman](https://www.amazon.com/Linear-Algebra-Kunze-Hoffman/dp/9332550077/ref=sr_1_1?crid=1PMLE71XZ3SKC\u0026keywords=linear+algebra+hoffman\u0026qid=1647019444\u0026sprefix=linear+algebra+hoffman%2Caps%2C211\u0026sr=8-1)\n\u003c/details\u003e\n\n| Disciplina                                                                                                 |  Duração  | Playlist  | Pré-requisitos |\n| :--------------------------------------------------------------------------------------------------------- | :-------: | :--------:  | :------------: |\n| **Cálculo I**           | 12 Semanas |  [:link:](https://www.youtube.com/watch?v=WgHUHPlJETs\u0026list=PLAudUnJeNg4tr-aiNyYCXE46L3qEZ2Nzx) |       Módulo 0       |\n| **Geometria Analítica** | 9 Semanas | [:link:](https://www.youtube.com/watch?v=KKTZz75QK1M\u0026list=PLZ2q7OLLOFBYgAGI_1a2TAvtI0_mjRSWD)   |       Módulo 0        |\n| **Álgebra Linear**              | 10 semanas |  [:link:](https://www.youtube.com/watch?v=ZK3O402wf1c\u0026list=PL49CF3715CB9EF31D\u0026index=1)  |         Módulo 0        |\n\n\n  ## Módulo 2\nAqui começa-se o estudo de Estatística de fato.\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n* [Estatística Básica - Bussab e Morettin](https://www.amazon.com.br/Estatística-Básica-Wilton-Bussab/dp/8547220224/ref=asc_df_8547220224/?tag=googleshopp00-20\u0026linkCode=df0\u0026hvadid=379748610448\u0026hvpos=\u0026hvnetw=g\u0026hvrand=7931812435905986359\u0026hvpone=\u0026hvptwo=\u0026hvqmt=\u0026hvdev=c\u0026hvdvcmdl=\u0026hvlocint=\u0026hvlocphy=1001689\u0026hvtargid=pla-811770768458\u0026psc=1)\n\n\n* [Cálculo - vol. II: Volume 2 - Stewart](https://www.amazon.com.br/Cálculo-vol-II-James-Stweart/dp/8522125848/ref=sr_1_1?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=10TJ79YLOB23T\u0026keywords=Cálculo+2+stewart\u0026qid=1650567527\u0026s=books\u0026sprefix=cálculo+2+stewart%2Cstripbooks%2C296\u0026sr=1-1\u0026ufe=app_do%3Aamzn1.fos.6a09f7ec-d911-4889-ad70-de8dd83c8a74)\n\u003c/details\u003e\n\n| Disciplina                                                                                                 |  Duração  | Playlist  | \n| :--------------------------------------------------------------------------------------------------------- | :-------: | :--------:  |\n| **Estatística Elementar**           | 6 Semanas |  [:link:](https://www.youtube.com/watch?v=hESKcJbMCrI\u0026list=PL5Dg8nFln2eU1g1wzazCDF6jusmWE2nIL)  |       Módulo 0       |\n| **Cálculo II** | 12 Semanas | [:link:](https://www.youtube.com/watch?v=lQdzRBRL9Tw\u0026list=PLAudUnJeNg4sd0TEJ9EG6hr-3d3jqrddN) |       Módulo 0        |\n\n### Módulo 2.5\nA formalização de conceitos é o objetivo principal deste módulo, como mencionado anteriormente, embora não seja de caráter obrigatório, apresenta uma relevância substancial do ponto de vista teórico.\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n* **Análise**\n  * [Curso de Análise Vol 1 - Elon](https://loja.sbm.org.br/curso-de-analise-vol-1.html)\n  * [Understanding Analysis - Abbot](https://www.amazon.com.br/Understanding-Analysis-Stephen-Abbott/dp/1493927116)\n  * [Analysis I - Terence Tao](https://www.amazon.com.br/Analysis-I-Third-Terence-Tao/dp/9380250649/ref=sr_1_1?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=4H9TGN8DZ2RX\u0026keywords=analysis+terence+tao\u0026qid=1650567821\u0026s=books\u0026sprefix=analysis+terence+tao%2Cstripbooks%2C199\u0026sr=1-1\u0026ufe=app_do%3Aamzn1.fos.25548f35-0de7-44b3-b28e-0f56f3f96147)\n  * [Analysis II - Terence Tao](https://www.amazon.com.br/Analysis-II-Third-Terence-Tao/dp/9380250657/ref=asc_df_9380250657/?tag=googleshopp00-20\u0026linkCode=df0\u0026hvadid=379765626380\u0026hvpos=\u0026hvnetw=g\u0026hvrand=6239892852200619085\u0026hvpone=\u0026hvptwo=\u0026hvqmt=\u0026hvdev=c\u0026hvdvcmdl=\u0026hvlocint=\u0026hvlocphy=1001689\u0026hvtargid=pla-450575586368\u0026psc=1)  \n  * [Curso de Análise Vol 2 - Elon](https://loja.sbm.org.br/curso-de-analise-vol-2.html)\n* **Teoria da medida**\n  * [Introdução à Medida e Integração - Isnard](https://loja.sbm.org.br/introduc-o-a-medida-e-integrac-o.html)\n  * [Measure Theory - Halmos](https://www.amazon.com.br/Measure-Theory-Paul-R-Halmos/dp/0387900888/ref=sr_1_1?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=20O8K396Z5TJ9\u0026keywords=measure+theory+halmos\u0026qid=1650568113\u0026s=books\u0026sprefix=measure+theory+halmo%2Cstripbooks%2C273\u0026sr=1-1\u0026ufe=app_do%3Aamzn1.fos.25548f35-0de7-44b3-b28e-0f56f3f96147)\n  * [Measure, Integration \u0026 Real Analysis - Axler](https://measure.axler.net/MIRA.pdf)\n\u003c/details\u003e\n\n\nÉ de primordial importância adquirir proficiência na teoria da medida antes de abordar os conceitos mais avançados de probabilidade.\n\n| Disciplina                                                                                                  |  Duração  | Playlist | \n| :---------------------------------------------------------------------------------------------------------- | :-------:  | :-------: | \n| **Análise na reta**                                                                     | 10 Semanas | [:link:](https://www.youtube.com/watch?v=Nh57TcGJelU\u0026list=PLo4jXE-LdDTRh_XIyhRwyCup4J6D8ftTL)  | :notebook:  |       -        |\n| **Análise no rn** | 10 Semanas | [:link:](https://www.youtube.com/watch?v=mXQ3XIeYgYI\u0026list=PLo4jXE-LdDTSadrRNyVDB8CU44InqabE0) | A pensar  |       -        |\n| **Teoria da medida**                           | 9 semanas |   [:link:](https://www.youtube.com/watch?v=oTWwfTQY-TQ\u0026list=PLo4jXE-LdDTSln8Q8q0MNDSs69wVb2lh_)   |  pois é   |       -        |\n\n\n\n## Módulo 3: Probabilidade \nO começo do estudo formal de probabilidade\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n* Probabilidade I  \n  * [Probabilidade - Aplicações à Estatística - Meyer](https://www.amazon.com.br/Probabilidade-Aplicações-Estatística-Paul-Meyer/dp/8521602944/ref=sr_1_1?keywords=paul+meyer+probabilidade\u0026qid=1640057579\u0026sprefix=paul+meyer+%2Caps%2C253\u0026sr=8-1\u0026ufe=app_do%3Aamzn1.fos.4bb5663b-6f7d-4772-84fa-7c7f565ec65b)\n  * [Probabilidade: um Curso Introdutório - Dantas ](https://www.amazon.com.br/Probabilidade-Introdutório-Carlos-Alberto-Barbosa/dp/8531403995/ref=pd_sbs_6/139-4786804-6922218?pd_rd_w=wWAdc\u0026pf_rd_p=9175a6cb-27e9-4c8e-b27e-0da5a40be6eb\u0026pf_rd_r=VTQER6Q2PQ4VNQQ04MF9\u0026pd_rd_r=2cd45eba-416c-480a-8e17-483e3d800d6c\u0026pd_rd_wg=oG9CM\u0026pd_rd_i=8531403995\u0026psc=1)\n  * [:link:](https://www.youtube.com/watch?v=qUBtru_zmbc\u0026list=PL5nbzsxqG2FOqyUPu_SHNFznUAuZMLCJI)\n* Probabilidade II \n  * [Probabilidade e Variáveis Aleatórias - Magalhães](https://www.amazon.com.br/Probabilidade-Variáveis-Aleatórias-Nascimento-Magalhaes/dp/8531409454/ref=pd_bxgy_img_2/139-4786804-6922218?pd_rd_w=mtJ6v\u0026pf_rd_p=4a943320-02ab-4775-ad7a-eaf57d00a244\u0026pf_rd_r=9PFEC3MDBN1AN5CRT23S\u0026pd_rd_r=edc4a9eb-b798-43a3-8919-32912dd74071\u0026pd_rd_wg=4n4i5\u0026pd_rd_i=8531409454\u0026psc=1)\n  * [Probabilidade: Um Curso Moderno com Aplicações- Ross](https://www.amazon.com.br/Probabilidade-Curso-Moderno-com-Aplicações/dp/8577806219/ref=sr_1_1?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=29UUQ9D2QBCDL\u0026keywords=sheldon+ross\u0026qid=1640057949\u0026s=books\u0026sprefix=sheldon+ross%2Cstripbooks%2C228\u0026sr=1-1\u0026ufe=app_do%3Aamzn1.fos.fcd6d665-32ba-4479-9f21-b774e276a678)\n\u003c/details\u003e\n\n| Disciplina                                                                                                 |  Duração  | Playlist  | \n| :--------------------------------------------------------------------------------------------------------- | :-------: | :--------:  | \n| **Probabilidade I**           | 10 Semanas |  [:link:](https://www.youtube.com/watch?v=qUBtru_zmbc\u0026list=PL5nbzsxqG2FOqyUPu_SHNFznUAuZMLCJI)  |       Módulo 0       |\n| **Probabilidade II** | 10 Semanas | [:link:](https://www.youtube.com/c/rafaelstern/playlists?view=50\u0026sort=dd\u0026shelf_id=3) |       Módulo 0        |\n| **Probabilidade Pré Avançada** | 6 Semanas | [:link:](https://www.youtube.com/watch?v=Q5bGmDTZQhk\u0026list=PLo4jXE-LdDTS5BYqea-LcHdtjKwVcepP7) |       Módulo 0        |\n### Módulo 3.5: Probabilidade Avançada\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n* Probabilidade pré avançada \n  * [First Look at Rigorous Probability Theory - Rosenthal](https://www.amazon.com.br/First-Look-Rigorous-Probability-Theory/dp/9812703713/ref=sr_1_2?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=5DN8VOYPBPOU\u0026keywords=a+first+look+at+rigorous+probability\u0026qid=1640058103\u0026s=books\u0026sprefix=a+first+look+at+rigorous+probability%2Cstripbooks%2C192\u0026sr=1-2\u0026ufe=app_do%3Aamzn1.fos.e05b01e0-91a7-477e-a514-15a32325a6d6)\n* Probabilidade Avançada\n  * [Probability \u0026 Measure Theory - Ash](https://www.amazon.com.br/Probability-Measure-Theory-Robert-Ash/dp/0120652021/ref=sr_1_4?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=3K9Q7S415LXRF\u0026keywords=probability+and+measure\u0026qid=1640058146\u0026s=books\u0026sprefix=probability+and+measure%2Cstripbooks%2C194\u0026sr=1-4\u0026ufe=app_do%3Aamzn1.fos.25548f35-0de7-44b3-b28e-0f56f3f96147)\n  * [Probability and Stochastics - Erhan](https://www.amazon.com.br/Probability-Stochastics-261-Erhan-Çınlar/dp/0387878580/ref=sr_1_1?__mk_pt_BR=ÅMÅŽÕÑ\u0026crid=1ZC8T0HNKBF4S\u0026keywords=probability+and+stochastic\u0026qid=1640058269\u0026s=books\u0026sprefix=probability+and+stochastic%2Cstripbooks%2C196\u0026sr=1-1\u0026ufe=app_do%3Aamzn1.fos.25548f35-0de7-44b3-b28e-0f56f3f96147)\n\u003c/details\u003e\n\n## Módulo 4: Inferência Estatística \nComeço de inferência estatística de maneira formal:\n\n\u003cdetails\u003e\n  \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n* **Inferência Estatística**\n  * [Statistical Inference - Casella e Berger](https://mybiostats.files.wordpress.com/2015/03/casella-berger.pdf)\n  * [A Course in Mathematical Statistics - Roussas](http://faculty.ndhu.edu.tw/~yltseng/edu/mathstatRoussas.pdf)\n\n* **Inferência Bayesiana**\n  * [Statistical Inference An Integrated Approach - Migon](https://web.icmc.usp.br/SCATUSU/Boletim_aquisicao/Boletim_Janeiro_2016/Capas_Marco_2016/BIBLIOTECA_158_Migon_Statistical0001.pdf)\n  * [A Student’s Guide to Bayesian Statistics - Lambert](https://www.amazon.com.br/Students-Guide-Bayesian-Statistics/dp/1473916364)\n  * [Bayesian Theory - Bernardo e Smith](https://statisticalsupportandresearch.files.wordpress.com/2019/03/josc3a9-m.-bernardo-adrian-f.-m.-smith-bayesian-theory-wiley-1994.pdf)\n\u003c/details\u003e\n\n| Disciplina                                                                                                 |  Duração  | Playlist  |\n| :--------------------------------------------------------------------------------------------------------- | :-------: | :--------:  | \n| **Inferência Estatística**           | 12 Semanas |  [:link:](https://www.youtube.com/watch?v=Da34vphGCow\u0026list=PL5Dg8nFln2eVsLUFxlYqjKh4Ps5nW2j1W\u0026index=33\u0026ab_channel=ACi%C3%AAnciadaEstat%C3%ADstica)  |       Módulo 0       |\n| **Inferência Bayesiana** | 10 Semanas | [:link:](https://www.youtube.com/watch?v=YKZ1euMRsbs\u0026list=PL5nbzsxqG2FPrVmqbLafXqOrE3djThquN\u0026ab_channel=GustavoFerreira) |       Módulo 0        |\n\n  \n## Módulo 5: Modelagem Estatística\n\nSe você completou o estudo de todas as seções anteriores, a partir deste ponto os conteúdos não seguem formalmente uma ordem predefinida.\n\n### Regressão Linear\n* \n  \u003cdetails\u003e\n    \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n    * [Econometria Básica - Gujarati](http://zalamsyah.staff.unja.ac.id/wp-content/uploads/sites/286/2019/11/7-Basic-Econometrics-4th-Ed.-Gujarati.pdf)\n    * [The Truth About Linear Regression - Shalizi](https://www.stat.cmu.edu/~cshalizi/TALR/)\n    * [Regression and Other Stories](https://avehtari.github.io/ROS-Examples/)\n  \u003c/details\u003e\n\n\n### Modelos Lineares Generalizados\n*  \u003cdetails\u003e\n    \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n    * [Generalized Linear Models - McCullagh e Nelder](https://www.utstat.toronto.edu/~brunner/oldclass/2201s11/readings/glmbook.pdf)\n    * [Generalized Linear Models With Examples in R - Dunn e Smyth](https://www.amazon.com/Generalized-Linear-Examples-Springer-Statistics/dp/1441901175https://www.amazon.com/Generalized-Linear-Examples-Springer-Statistics/dp/1441901175)\n  \u003c/details\u003e\n\n### Séries Temporais\n\n*  \u003cdetails\u003e\n    \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n    * [Análise de Séries Temporais - Morettin](https://www.amazon.com.br/An%C3%A1lise-S%C3%A9ries-Temporais-Pedro-Morettin/dp/8521203896)\n    * [Link útil](https://www.ime.usp.br/~pam/ST.html)\n    * [Econometria de Séries Temporais - De Losso](https://www.amazon.com.br/Econometria-S%C3%A9ries-Temporais-Rodrigo-Silveira/dp/852211157X)\n    * [Time Series: Theory and Methods - Brockwell](https://d-nb.info/949251941/04)\n  \u003c/details\u003e\n\n### Análise de Sobrevivência\n*  \u003cdetails\u003e\n    \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n    * [Survival Analysis A Self Learning Text - Kleinbaum e Klein](https://www.amazon.com.br/Survival-Analysis-Self-Learning-David-Kleinbaum/dp/1441966455)\n    * [Análise de Sobrevivência Aplicada - Colosimo e Giolo](https://www.amazon.com.br/An%C3%A1lise-Sobreviv%C3%AAncia-Aplicada-Ant%C3%B4nio-Colosimo/dp/8521203845)\n  \u003c/details\u003e\n  \n### Machine Learning\n*  \u003cdetails\u003e\n    \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n    * [The Machine Learning: A Probabilistic Perspective - Murphy](https://probml.github.io/pml-book/)\n    * [Machine Learning - Tom Mitchell](https://www.cin.ufpe.br/~cavmj/Machine%20-%20Learning%20-%20Tom%20Mitchell.pdf)\n    * [A Course in Machine Learning -  Hal Daumé III](http://ciml.info/)\n  \u003c/details\u003e\n\n\n### Deep Learning\n\n*  \u003cdetails\u003e\n    \u003csummary markdown=\"span\"\u003eBibliografia Recomendada\u003c/summary\u003e\n\n    * [Deep Learning - Goodfellow](https://www.deeplearningbook.org/)\n    * [Deep Learning with Python - Chollet](https://www.amazon.com.br/Deep-Learning-Python-Francois-Chollet/dp/1617294438)\n    * [Deep Learning for Coders with Fastai and Pytorch - Jeremy e Gugger](https://course.fast.ai/)\n  \u003c/details\u003e\n\n\n## Livros Gerais\n\nLivros de divulgação da Estatística desempenham um papel fundamental na promoção da compreensão e do uso eficaz da Estatística em uma ampla variedade de campos. \nNesta seção, apresentam-se algumas recomendações de obras literárias adequadas ao público em geral.\n\n\u003cdetails\u003e\n    \u003csummary markdown=\"span\"\u003eLivros\u003c/summary\u003e\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/andar-b%C3%AAbado-acaso-determina-nossas/dp/8537818100/ref=sr_1_2?__mk_pt_BR=%C3%85M%C3%85%C5%BD%C3%95%C3%91\u0026crid=288Z9EPHDOPLI\u0026keywords=andar+do+bebado\u0026qid=1695407588\u0026sprefix=andar+do+bebado%2Caps%2C408\u0026sr=8-2\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/81KdmY4M-7L._AC_UF1000,1000_QL80_.jpg\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eO Andar do bêbado\u003c/b\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/Book-Why-Science-Cause-Effect/dp/1541698967/ref=sr_1_1?crid=357VIYHU0JAZK\u0026keywords=the+book+of+why\u0026qid=1695407636\u0026sprefix=the+book+of+wh%2Caps%2C231\u0026sr=8-1\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/71C19aI7hJL._AC_UF1000,1000_QL80_.jpg\" width=\"80px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eThe Book of Why\u003c/b\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/Teoria-que-n%C3%A3o-Morreria/dp/8527310341/ref=sr_1_1?__mk_pt_BR=%C3%85M%C3%85%C5%BD%C3%95%C3%91\u0026crid=1TYXFZCDTQEE5\u0026keywords=a+teoria+que+n%C3%A3o+morreria\u0026qid=1695407661\u0026sprefix=a+teoria+que+nao+morreri%2Caps%2C223\u0026sr=8-1\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/61DueEn-0IL._AC_UF350,350_QL50_.jpg\" width=\"80px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eA Teoria que não morreria\u003c/b\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/l%C3%B3gica-Cisne-Edi%C3%A7%C3%A3o-revista-ampliada/dp/8547001263/ref=sr_1_1_sspa?crid=1HJKEQW5YWBKA\u0026keywords=a+l%C3%B3gica+do+cisne+negro\u0026qid=1695407682\u0026sprefix=a+logica+do+cisn%2Caps%2C227\u0026sr=8-1-spons\u0026sp_csd=d2lkZ2V0TmFtZT1zcF9hdGY\u0026psc=1\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/71XoEZS6W+L._AC_UF1000,1000_QL80_.jpg\" width=\"85px;\" height =\"120px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eA Lógica Do Cisne Negro\u003c/b\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/Iludidos-pelo-acaso-influ%C3%AAncia-mercados/dp/8547000968/ref=sr_1_2?crid=1TBGU696V17KZ\u0026keywords=iludidos+pelo+acaso\u0026qid=1695407701\u0026sprefix=iludido%2Caps%2C227\u0026sr=8-2\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/41ktVgT5QjL.jpg\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eIludidos pelo acaso\u003c/b\u003e\u003c/td\u003e\n    \n    \n  \n  \u003c/tr\u003e\n    \u003ctr\u003e\n  \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/R%C3%A1pido-devagar-Daniel-Kahneman/dp/853900383X/ref=sr_1_1_sspa?crid=36SX1J8PCF9DZ\u0026keywords=rapido+e+devagar\u0026qid=1695407719\u0026sprefix=rapido+e+%2Caps%2C226\u0026sr=8-1-spons\u0026sp_csd=d2lkZ2V0TmFtZT1zcF9hdGY\u0026psc=1\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/41alIv87Z5L.jpg\" width=\"85px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eRápido e devagar\u003c/b\u003e\u003c/td\u003e\n  \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/Storytelling-com-Dados-Visualiza%C3%A7%C3%A3o-Profissionais/dp/8550804681/ref=sr_1_1_sspa?crid=1DSNIMYEI9OAQ\u0026keywords=storytelling+com+dados\u0026qid=1695407738\u0026sprefix=sto%2Caps%2C233\u0026sr=8-1-spons\u0026sp_csd=d2lkZ2V0TmFtZT1zcF9hdGY\u0026psc=1\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/71sQk9TbNxL._AC_UF1000,1000_QL80_.jpg\" width=\"89px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eStorytelling com Dados\u003c/b\u003e\u003c/td\u003e\n  \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/Uma-senhora-toma-ch%C3%A1-revolucionou/dp/853780116X/ref=sr_1_1?crid=Q1JUYCWNC7QH\u0026keywords=uma+senhora+toma+ch%C3%A1\u0026qid=1695407753\u0026sprefix=uma+senhora%2Caps%2C230\u0026sr=8-1\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/81EPzzPu2YL._AC_UF1000,1000_QL80_.jpg\" width=\"80px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eUma senhora toma chá\u003c/b\u003e\u003c/td\u003e\n  \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/Algoritmo-Mestre-Learning-Definitivo-Recriar%C3%A1/dp/8575225383/ref=sr_1_1?__mk_pt_BR=%C3%85M%C3%85%C5%BD%C3%95%C3%91\u0026crid=134INERNFUU5Y\u0026keywords=o+algoritmo+mestre\u0026qid=1695407777\u0026sprefix=o+algoritomo+mestre%2Caps%2C210\u0026sr=8-1\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/71xGPI6L0fL._AC_UF1000,1000_QL80_.jpg\" width=\"90px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eO Algoritmo Mestre\u003c/b\u003e\u003c/td\u003e\n  \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.amazon.com.br/Logicomix-Search-Truth-Apostolos-Doxiadis/dp/1596914521/ref=sr_1_1?__mk_pt_BR=%C3%85M%C3%85%C5%BD%C3%95%C3%91\u0026crid=1CX4JU311IRMP\u0026keywords=logicomix\u0026qid=1695407794\u0026sprefix=logicomi%2Caps%2C228\u0026sr=8-1\u0026ufe=app_do%3Aamzn1.fos.6a09f7ec-d911-4889-ad70-de8dd83c8a74\"\u003e\u003cimg src=\"https://m.media-amazon.com/images/I/61Frc-7PRRL._AC_UF1000,1000_QL80_.jpg\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003e Logicomix\u003c/b\u003e\u003c/td\u003e\n  \n  \n\n  \u003c/tr\u003e\n\n  \u003ctr\u003e\n  \n\u003c/table\u003e\n\u003c/details\u003e\n\n\n\n\n\n\n\n\n## Seção de agradecimento\n\n\n### Docentes\nSinceros agradecimentos aos seguintes docentes por compartilharem generosamente valiosos recursos didáticos online. Suas contribuições são uma inspiração para o aprendizado contínuo e acessível.\n\n\n\u003cdetails\u003e\n    \u003csummary markdown=\"span\"\u003eDocentes\u003c/summary\u003e\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://lattes.ime.usp.br/mat/membro-1334333415248806.html\"\u003e\u003cimg src=\"https://yt3.ggpht.com/ytc/AKedOLQXjOG_FJR1F_CM-xACuufppVddVUJ11oaAkQmVFg=s900-c-k-c0x00ffffff-no-rj\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eAlexandre Lymberopoulos\u003c/b\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.ime.usp.br/~patriota//\"\u003e\u003cimg src=\"https://miro.medium.com/fit/c/176/176/2*2i6pAwRb_5giJosrB6H5rw.jpeg\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eAlexandre Patriota\u003c/b\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"http://www.iea.usp.br/pessoas/pasta-pessoac/claudio-possani\"\u003e\u003cimg src=\"https://chc.fflch.usp.br/sites/chc.fflch.usp.br/files/styles/medium/public/2021-02/claudio%20possani.gif?itok=l8_3FM1O\" width=\"75px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eClaudio Possani\u003c/b\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://scholar.google.com/citations?user=M4r5j0MAAAAJ\u0026hl=en\"\u003e\u003cimg src=\"https://www.abc.org.br/wp-content/uploads/2017/04/arton1062-1.jpg\" width=\"110px;\" height =\"115px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eClaudio Landim\u003c/b\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://fil.cfh.ufsc.br/cezar-augusto-mortari/\"\u003e\u003cimg src=\"https://fil.cfh.ufsc.br/files/2013/04/Cezar-Augusto-Mortari-2-300x300.png\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eCezar Mortari\u003c/b\u003e\u003c/td\u003e\n    \n    \n  \n  \u003c/tr\u003e\n    \u003ctr\u003e\n  \u003ctd align=\"center\"\u003e\u003ca href=\"https://impa.br/wp-content/scriptLattes/membro-5809459915075654.html\"\u003e\u003cimg src=\"https://imaginariopuro.files.wordpress.com/2016/12/gugu_impa.jpg\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eGugu\u003c/b\u003e\u003c/td\u003e\n  \u003ctd align=\"center\"\u003e\u003ca href=\"https://scholar.google.com/citations?user=M4r5j0MAAAAJ\u0026hl=en\"\u003e\u003cimg src=\"https://scholar.googleusercontent.com/citations?view_op=view_photo\u0026user=M4r5j0MAAAAJ\u0026citpid=4\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eGustavo Ferreira\u003c/b\u003e\u003c/td\u003e\n  \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.ime.usp.br/~martha/\"\u003e\u003cimg src=\"https://yt3.ggpht.com/ytc/AKedOLTNCkVNz3vS6xpyEvcH3rMme0obRkAJq4NHst4BPyQ=s900-c-k-c0x00ffffff-no-rj\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eMartha Salerno Monteiro\u003c/b\u003e\u003c/td\u003e\n  \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.rafaelstern.science/\"\u003e\u003cimg src=\"https://www.rafaelstern.science/authors/admin/avatar_huaf16020416d86c932f3fceb0715c710e_218831_270x270_fill_lanczos_center_3.png\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eRafael B. Stern\u003c/b\u003e\u003c/td\u003e\n  \n  \n\n  \u003c/tr\u003e\n\n  \u003ctr\u003e\n  \n\u003c/table\u003e\n\u003c/details\u003e\n\n### Revisores\n\n\nGratidão às seguintes pessoas por dedicarem seu tempo e esforço para revisar e fornecer feedbacks\n\n\n\u003cdetails\u003e\n    \u003csummary markdown=\"span\"\u003eRevisores\u003c/summary\u003e\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.linkedin.com/in/vitorbsp/\"\u003e\u003cimg src=\"https://media.licdn.com/dms/image/C4D03AQHdFAo5iG4kAQ/profile-displayphoto-shrink_200_200/0/1662418345338?e=1700697600\u0026v=beta\u0026t=DO5XePFXO2zd2DG4DHLuC0KqZ_RjloKUloLe9SoKvS4\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eVitor Bernardo\u003c/b\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://www.linkedin.com/in/leonardopiccaro/\"\u003e\u003cimg src=\"https://media.licdn.com/dms/image/D4D03AQFg37DB9K6rqA/profile-displayphoto-shrink_200_200/0/1694627978766?e=1700697600\u0026v=beta\u0026t=vTcqiPyaK5B8EjTwcpsCfJq-nag77W2F82UZfzfqIIE\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eLeonardo Piccaro\u003c/b\u003e\u003c/td\u003e\n   \n    \n    \n  \n  \n  \n  \n\n  \u003c/tr\u003e\n\n  \u003ctr\u003e\n  \n\u003c/table\u003e\n\u003c/details\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAlissonRP%2FFreeStats","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FAlissonRP%2FFreeStats","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAlissonRP%2FFreeStats/lists"}