Powiedz znajomym o tym przedmiocie:
Cracking the Machine Learning Code: Technicality or Innovation? - Studies in Computational Intelligence KC Santosh
Cracking the Machine Learning Code: Technicality or Innovation? - Studies in Computational Intelligence
KC Santosh
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 | Książki Paperback Book (Książka z miękką okładką i klejonym grzbietem) |
| Wydane | 10 maja 2025 |
| ISBN13 | 9789819727223 |
| Wydawcy | Springer Verlag, Singapore |
| Strony | 127 |
| Wymiary | 150 × 220 × 10 mm · 236 g |