Cracking the Machine Learning Code: Technicality or Innovation? - Studies in Computational Intelligence - KC Santosh - Books - Springer Verlag, Singapore - 9789819727223 - May 10, 2025
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KC Santosh
Cracking the Machine Learning Code: Technicality or Innovation? - Studies in Computational Intelligence

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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 – efficiency and scalability.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released May 10, 2025
ISBN13 9789819727223
Publishers Springer Verlag, Singapore
Pages 127
Dimensions 150 × 220 × 10 mm   ·   236 g

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