March 2016
Intermediate to advanced
408 pages
12h 50m
Portuguese (Portugal, Brazil)
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CAPÍTULO 14
Conclusão
A prática de data science pode ser melhor descrita como uma combinação de engenharia analítica e exploração. O negócio apresenta um problema que gostaríamos de resolver. Raramente, o problema de negócio é, de modo direto, uma de nossas tarefas básicas de mineração de dados. Decompomos o problema em subtarefas que achamos que podemos resolver, geralmente, começando com as ferramentas existentes. Para algumas dessas tarefas podemos não saber o quão bem podemos resolvê-las, por isso, temos que explorar os dados e fazer uma avaliação para verificar. Se isso não for possível, poderemos ter de tentar algo completamente diferente. ...
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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.