March 2016
Intermediate to advanced
408 pages
12h 50m
Portuguese (Portugal, Brazil)
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CAPÍTULO 7
Decisão do Pensamento Analítico I:O que É um Bom Modelo?
Conceitos fundamentais: Uma reflexão sobre o que é desejado dos resultados de data science; Valores esperados como estrutura chave de avaliação; Consideração de bases comparativas adequadas.
Técnicas exemplares: Várias métricas de avaliação; Estimando custos e benefícios; Cálculo do lucro esperado; Criação de métodos base para comparação.
Lembre-se do início do Capítulo 5: como gerente da MegaTelCo, você queria avaliar se o modelo que a minha empresa de consultoria havia produzido era bom. Deixando de lado o sobreajuste, como você mediria isso?
Para o data science agregar valor a uma aplicação, é importante que o cientista de dados e outros investidores considerem cuidadosamente ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.