April 2025
Intermediate to advanced
416 pages
8h 32m
Portuguese (Portugal, Brazil)
Content preview from Livro de receitas de aprendizagem automática com Python, 2ª edição
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Quando a primeira edição deste livro foi publicada em 2018, preencheu uma lacuna crítica na crescente riqueza de conteúdos de aprendizagem automática (ML). Ao fornecer receitas Python práticas e bem testadas, permitiu que os profissionais copiassem e colassem código antes de o adaptarem facilmente aos seus casos de utilização. Em apenas cinco anos, o espaço de ML continuou a explodir com os avanços na aprendizagem profunda (DL) e as estruturas Python DL associadas.
Agora, em 2023, existe a necessidade do mesmo tipo de conteúdo prático que sirva as necessidades dos profissionais de ML e DL com as mais recentes bibliotecas Python. Este livro pretende dar continuidade ao trabalho existente (e fantástico) realizado pelo autor da primeira edição:
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Actualiza os exemplos existentes para utilizar as últimas versões e frameworks Python
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Incorporar práticas modernas em fontes de dados, análise de dados, ML e DL
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Expandir o conteúdo de DL para incluir tensores, redes neurais e DL para texto e visão no PyTorch
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Leva os nossos modelos um passo à frente, servindo-os numa API
Tal como a primeira edição, este livro adopta uma abordagem à aprendizagem automática baseada em tarefas, apresentando mais de 200 soluções autónomas (copiar, colar e executar) para as tarefas mais comuns com que um cientista de dados ou engenheiro de aprendizagem automática que esteja a ...
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