- KC Santosh
- Rodrigue Rizk
- Siddhi K. Bajracharya
Cracking the Machine Learning Code: Technicality or Innovation?
Engels |
Paperback |
9789819727223 |
2025 |
19 Pagina's
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.