Interpretable Machine Learning with Python, 2nd Edition: Build explainable, fair, and robust high-performance models with hands-on, real-world examples
- Length: 606 pages
- Publication Date: 2023-10-31
Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
- Length: 456 pages
- Publication Date: 2023-05-31