Summary: Teorema de Bayes (SciCast #377)<br> <br> <a href="https://i0.wp.com/www.deviante.com.br/wp-content/uploads/2020/05/ScicastCapa377.jpg"></a><br> <br> <a href="http://www.deviante.com.br/wp-content/uploads/2020/05/a%20href=" target="_blank" rel="nofollow"></a><br> <a href="http://bit.ly/scicastpodcast">CAMBLY</a><br> Código que dá uma aula experimental grátis: <a href="http://bit.ly/cambly-scicast">SCICAST</a><br> <a href="http://apple.co/2eUHAwL">App do Cambly para iPhone</a><br> <a href="http://bit.ly/2ffLDHd">App do Cambly para Android</a><br> <br> Patronato do SciCast:<br> <br> * <a href="http://www.patreon.com/scicast">Patreon SciCast</a><br> * <a href="http://www.padrim.com.br/scicast">Padrim SciCast</a><br> * <a href="http://picpay.me/scicast">PicPay SciCast</a><br> <br> <br> Contatos:<br> <br> * <a href="mailto:contato@scicast.com.br">contato@scicast.com.br</a><br> * <a href="https://twitter.com/scicastpodcast">https://twitter.com/scicastpodcast</a><br> * <a href="https://www.facebook.com/scicastpodcast">https://www.facebook.com/scicastpodcast</a><br> * <a href="https://instagram.com/scicastpodcast">https://instagram.com/scicastpodcast</a><br> <br> <br> <a href="https://www.mitoucamisetas.com.br/scicast">CAMISETAS SCICAST – Acesse agora: Mitou Camisetas</a><br> <br> Expediente:<br> Produção Geral: <a href="https://twitter.com/FernandesTarik">Tarik Fernandes</a><br> Equipe de Gravação: Fernando Malta, Marcelo de Matos, Altay de Souza, Roberto Spinelli, Diogo Oliveira, Marcel Ribeiro-Dantas<br> Edição: TalknCast<br> Citação ABNT: Scicast #377: Teorema de Bayes. Locução: Fernando Malta, Marcelo de Matos, Altay de Souza, Roberto Spinelli, Diogo Oliveira, Marcel Ribeiro-Dantas. [S.l.] Portal Deviante, 22/05/2020. Podcast. Disponível em: https://www.deviante.com.br/podcasts/scicast-377/<br> Imagem de Capa: Jânio Garcia (<a id="m_615428093431201984LPNoLP" href="https://www.behance.net/janiogarcia" target="_blank" rel="noopener noreferrer" data-saferedirecturl="https://www.google.com/url?hl=pt-BR&q=https://www.behance.net/janiogarcia&source=gmail&ust=1495843911137000&usg=AFQjCNEiPCCEwQ6_NNO4WMsTWN37qVBU7Q">Portfólio</a> • <a id="m_615428093431201984LPNoLP" href="https://www.instagram.com/garcia_janio/" target="_blank" rel="noopener noreferrer" data-saferedirecturl="https://www.google.com/url?hl=pt-BR&q=https://www.instagram.com/garcia_janio/&source=gmail&ust=1495843911137000&usg=AFQjCNGOQeJesRFnFQWAkEXWZJAmdhFNJQ">Instagram</a>)<br> <br> Referências e Indicações:<br> Sugestões de literatura:<br> <br> —<a href="https://pt.wikipedia.org/wiki/Thomas_Bayes">Thomas Bayes (Wikipedia Lusófona)</a><br> <a href="https://en.wikipedia.org/wiki/Thomas_Bayes">Thomas Bayes (Wikipedia Anglófona)</a><br> <a href="https://projecteuclid.org/download/pdfview_1/euclid.ss/1517562029">Richard Price, the First Bayesian by Stephen M. Stigler at Statistical Science (Journal)</a><br> <a href="https://www.organicadigital.com/blog/algoritmo-de-classificacao-naive-bayes/">Algoritmo de Classificação Naïve Bayes (Orgânica Digital)</a><br> <a href="https://qz.com/1315731/the-most-important-formula-in-data-science-was-first-used-to-prove-the-existence-of-god/">The most important formula in data science was first used to prove the existence of God (QUARTZ)</a><br> <a href="https://www.geeksforgeeks.org/naive-bayes-classifiers/">Naive Bayes classifiers (Geeks for Geeks)</a><br> <a href="https://en.wikipedia.org/wiki/Naive_Bayes_classifier">Naive Bayes classifier (Wikipedia Anglófona)</a><br> <a href="https://www.analyticsvidhya.com/blog/2017/09/naive-bayes-explained/">6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R (Analytics Vidhya)</a><br> <a href="https://en.wikipedia.org/wiki/Banburismus">Banburismus (Wikipedia Anglófona)</a><br> <a href="https://rss."></a>
