Data Science, Machine Learning and Big Data

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Information about Data Science, Machine Learning and Big Data

Published on February 4, 2014

Author: fabriciobarth

Source: slideshare.net

Data Science, Machine Learning and Big Data Fabrício J. Barth

Entrada: 13 milhões de registros históricos sobre crimes em LA. Saída: determinar quando um crime irá acontecer.

Entrada: rede de sensores que cobre todo o mundo Saída: determinar quando um terremoto irá acontecer

Entrada: milhões de itens e milhões de usuários Saída: recomendar itens com acurácia alta para os usuários (clientes)

Criar rôbos que compram e vendem ações

O que estes projetos têm em comun? ✤ ✤ Manipulam grandes volumes de informação Outros exemplos de grandes volumes de informação: ✤ A380: Heathrow - JFK: 640 TBs de log ✤ Twitter: 12+ TBs of tweet every day ✤ Facebook: 25+ TBs of log data every day

O que estes projetos têm em comun? ✤ A origem dos dados é muito variada.

O que estes projetos têm em comun?

Queremos modelos preditivos

Big Data refers to: ✤ All data that comes at high Volume ✤ All data that comes at high Velocity ✤ All data that comes from a Variety of Sources (structured + unstructured data) ✤ Future

Fluxo de transformação dos dados ✤ Coleta e pré-processamento dos dados ✤ Aplicação do modelo ✤ Apresentação dos resultados

Como o modelo é desenvolvido?

Habilidades de um cientísta de dados

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