Cracking the Machine Learning Code: Technicality or Innovation? - Studies in Computational Intelligence - KC Santosh - Books - Springer Verlag, Singapore - 9789819727193 - May 9, 2024
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KC Santosh
Cracking the Machine Learning Code: Technicality or Innovation? - Studies in Computational Intelligence 2024 edition

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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.

127 pages, 103 Illustrations, color; 7 Illustrations, black and white; XIX, 127 p. 110 illus., 103 i

Media Books     Hardcover Book   (Book with hard spine and cover)
Released May 9, 2024
ISBN13 9789819727193
Publishers Springer Verlag, Singapore
Pages 127
Dimensions 150 × 220 × 20 mm   ·   385 g

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