March 2016
Intermediate to advanced
408 pages
12h 50m
Portuguese (Portugal, Brazil)
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CAPÍTULO 2
Problemas de Negócios e Soluçõesde Data Science
Conceitos fundamentais: Um conjunto regular de tarefas de mineração de dados; O processo de mineração de dados supervisionada versus não supervisionada.
Um princípio importante de data science é que a mineração de dados é um processo com estágios muito bem definidos. Alguns envolvem a aplicação de tecnologia da informação, como a descoberta automatizada e a avaliação de padrões a partir de dados, enquanto outros, na maioria das vezes, exigem criatividade, conhecimento de negócios e bom senso por parte do analista. Compreender todo o processo ajuda a estruturar projetos de mineração de dados de modo que estejam mais próximos da análise sistemática e não impliquem em esforços heroicos conduzidos ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.