Inferência em Ciências e Aprendizagem de Máquina
Filosofia e aplicações com estatística e probabilidade.
Um texto introdutório à ciência de dados escrito em língua portuguesa.
Usa uma base filosófica para alinhar abstrações matemáticas e aplicações com software. Aborda temas elementares e avançados.
R, STAN, testes estatísticos, análise multivariada, inferência bayesiana, redes neurais e deep learning. Teorema do Lim. Central, MCMC, Gradient Descent
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About the Book
Uma perspectiva contextualizando filosofia da ciência e
matemática aplicada com software.
Grupo de discussão no Telegram: http://t.me/cienciadados
Abstrações são apresentadas com rigor matemático para
soluções de problemas inspirados em exemplos históricos.
Prismas filosóficos diferentes norteiam a seleção de temas e princípios teóricos.
Cada tópico implementa soluções reais e inclui visualizações profissionais.
Entenda o eixo com as origens históricas, abstrações e conexões essenciais por trás desse campo. Aprenda a implementar algoritmos em estado da arte visando performance e significado.
ISBN 978-65-00-49305-4
Author
About the Author
Felipe Coelho Argolo
Pesquisador do Laboratório de Neurociências Clínicas da Universidade Federal de São Paulo.
Médico formado pela Universidade Federal da Bahia (Prêmio Prof. Alfredo Thomé de Brito).
Formação complementar em matemática aplicada e psiquiatria computacional (ETH).
Códigos abertos (incluindo este livro): https://github.com/fargolo
Publicações: https://bit.ly/2LBtRLP ;
Blog: http://d-van.org.
Contents
Table of Contents
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