Cracking the Machine Learning Code: Technicality or Innovation?
2024 ed.
Book Details
Format
Hardback or Cased Book
Book Series
Studies in Computational Intelligence
ISBN-10
9819727197
ISBN-13
9789819727193
Edition
2024 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Nature
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 9th, 2024
Print length
127 Pages
Product Classification:
DatabasesArtificial intelligenceMachine learning
Ksh 25,200.00
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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.
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