April 2025
Intermediate to advanced
268 pages
6h 17m
Portuguese (Portugal, Brazil)
Content preview from Algoritmos de grafos
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Capítulo 1. Introdução
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Os grafos são um dos temas unificadores da ciência da computação - uma representação abstrata que descreve a organização dos sistemas de transporte, as interações humanas e as redes de telecomunicações. O facto de tantas estruturas diferentes poderem ser modeladas usando um único formalismo é uma fonte de grande poder para o programador instruído.
The Algorithm Design Manual, de Steven S. Skiena (Springer), Professor distinto de Ciências da Computação na Universidade de Stony Brook
Os desafios de dados mais prementes da atualidade centram-se nas relações e não apenas na tabulação de dados discretos. As tecnologias e análises de grafos fornecem ferramentas poderosas para dados ligados que são utilizados em pesquisas, iniciativas sociais e soluções empresariais, tais como:
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Modelação de ambientes dinâmicos, dos mercados financeiros aos serviços de TI
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Previsão da propagação de epidemias, bem como de atrasos e interrupções de serviços
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Encontrar caraterísticas preditivas para a aprendizagem automática para combater os crimes financeiros
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Descobrir padrões para experiências e recomendações personalizadas
À medida que os dados se tornam cada vez mais interligados e os sistemas cada vez mais sofisticados, é essencial utilizar as relações ricas e em evolução que existem nos nossos dados.
Este capítulo apresenta uma introdução à análise ...
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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.