01195nam a2200289 a 4500 OSt 20261021144012.0 261021b |||||||| |||| 00| 0 eng d 9781803235424 (pbk.) Pondicherry University 006.3 SER Masis, Serg, author. Interpretable machine learning with Python : build explainable, fair, and robust high-performance models with hands-on, real-world examples / Serg Masis. 2nd ed. Mumbai : Packt Publishing, 2022. xxvii, 576 p. : 24 cm. Includes Index. A practical guide to interpreting machine learning models using Python, covering model-agnostic and model-specific interpretation methods, feature importance, SHAP, LIME, bias mitigation, causal inference, and techniques for making models more robust, fair, and reliable. _ Machine learning. Python (Computer program language). Artificial intelligence. Algorithmic accountability. _ _ ddc BK 006.3 SER 316782 316782 0 0 ddc 0 0 NFIC PU PU GEN 2025-12-03 2959.20 0 006.3 SER 233593 2028-09-27 BK