March 2016
Intermediate to advanced
408 pages
12h 50m
Portuguese (Portugal, Brazil)
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CAPÍTULO 5
O Sobreajuste e Como Evitá-lo
Conceitos Fundamentais: Generalização; Ajuste e sobreajuste; Controle de complexidade.
Técnicas Exemplares: Validação cruzada; Seleção de atributo; Poda; Regularização.
Uma das noções fundamentais mais importantes de data science é a de sobreajuste e generalização. Se nos permitirmos flexibilidade suficiente na busca por padrões em um conjunto particular de dados, certamente vamos encontrá-los. Infelizmente, esses “padrões” podem ser apenas ocorrências ao acaso. Como discutimos anteriormente, estamos interessados em padrões que generalizem — que possam prever bem exemplos que ainda não foram observados. O sobreajuste de dados é a existência de ocorrências aleatórias nos dados que pare-çam padrões interessantes, ...
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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.