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Cracking The Machine Learning Code: Technicality Or Innovation? eBook
idioma: inglês
Editor:
Springer Nature Singapore, maio de 2024 ‧
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166,36€
10% DESCONTO
IMEDIATO
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DISPONIBILIDADE IMEDIATA
Ebook para ADE
SINOPSE
It typically includes model selection, parameter tuning and optimization, use of pre-trained models and transfer learning, right use of limited data, model interpretability and explainability, feature engineering and autoML robustness and security, and computational cost â€" efficiency and scalability.
DETALHES
| Propriedade | Descrição |
|---|---|
| ISBN: | 9789819727209 |
| Editor: | Springer Nature Singapore |
| Data de Lançamento: | maio de 2024 |
| Idioma: | Inglês |
| Tipo de produto: | eBook |
| Coleção: | Studies In Computational Intelligence |
| Classificação Temática: |
eBooks em Inglês
>
Ciências Exatas e Naturais
>
Matemática
eBooks em Inglês > Informática > Base de Dados |
| EAN: | 9789819727209 |
| Acessibilidade: | Ver características de acessibilidade indicadas pelo editor |
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