July 2025
Intermediate to advanced
410 pages
10h 37m
Portuguese (Portugal, Brazil)
Content preview from Neo4j: O Guia Definitivo
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Capítulo 12. Ciência de dados de gráficos prática
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A ElectricHarmony está na vanguarda da inovação. Agora, a equipa de ciência de dados, sempre ansiosa por explorar novas tecnologias, depara-se com um desafio: como podem proporcionar experiências mais personalizadas e envolventes aos seus utilizadores? Apesar das suas capacidades avançadas de análise e aprendizagem automática, apercebem-se de que lhes falta um elemento crucial - compreender as relações complexas dos seus dados.
Entra na biblioteca Graph Data Science (GDS) no Neo4j. Ao contrário dos métodos tradicionais de ciência de dados, a GDS oferece uma maneira poderosa de modelar e analisar as intrincadas conexões entre entidades, permitindo insights mais profundos e soluções mais eficazes. Reconhecendo o potencial dos gráficos, a equipa da ElectricHarmony decide mergulhar neste campo excitante. Neste capítulo, acompanharemos o seu percurso à medida que aproveitam o poder dos grafos para revolucionar o seu serviço. Apresentaremos os conceitos gerais do GDS e demonstraremos como usá-lo para descobrir padrões e percepções ocultas.
Um dos principais objectivos da equipa é melhorar o envolvimento dos utilizadores, compreendendo os agrupamentos naturais no comportamento dos utilizadores através da deteção de comunidades. Em vez de partirem de géneros ou rótulos predefinidos, utilizam algoritmos para descobrir ...
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