Capa do artigo Cracking The Machine Learning Code: Technicality Or Innovation?
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Cracking The Machine Learning Code: Technicality Or Innovation? eBook

by Kc Santosh, Siddhi K. Bajracharya e Rodrigue Rizk
language: english
Publisher: Springer Nature Singapore, May of 2024 ‧
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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.

Cracking The Machine Learning Code: Technicality Or Innovation?

by Kc Santosh, Siddhi K. Bajracharya e Rodrigue Rizk

Property Description
ISBN: 9789819727209
Publisher: Springer Nature Singapore
Release Date: May of 2024
Language: English
Format: eBook
File Format and Compatibility:
Collection: Studies In Computational Intelligence
Categories: eBooks in English > Science > Mathematics
eBooks in English > Computing > Database
EAN: 9789819727209
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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