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Cracking The Machine Learning Code: Technicality Or Innovation?

by Kc Santosh, Siddhi K. Bajracharya e Rodrigue Rizk
language: english
Publisher: SPRINGER VERLAG, SINGAPORE, May of 2025 ‧
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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: 9789819727223
Publisher: SPRINGER VERLAG, SINGAPORE
Release Date: May of 2025
Language: English
Dimensions: 155 x 235 x 20 mm
Cover: Softcover
Pages: 127
Format: Book
Collection: Studies In Computational Intelligence
Categories: Books in English > Computing > Database
EAN: 9789819727223

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