TY  - BOOK
AU  - Granville, Vincent 
TI  - Synthetic Data and Generative AI
SN  - 9780443218576
PY  - 2024///
CY  - Cambridge
PB  - Morgan Kaufmann
KW  - Artificial intelligence
KW  - Machine learning
KW  - Generative adversarial networks (GANs)
KW  - Data mining
KW  - Computer simulation
N1  - Includes Glossary and index
N2  - Synthetic Data and Generative AI covers the foundations of machine learning with modern approaches to solving complex problems and the systematic generation and use of synthetic data. Emphasis is on scalability, automation, testing, optimizing, and interpretability (explainable AI). For instance, regression techniques – including logistic and Lasso – are presented as a single method without using advanced linear algebra. Confidence regions and prediction intervals are built using parametric bootstrap without statistical models or probability distributions. Models (including generative models and mixtures) are mostly used to create rich synthetic data to test and benchmark various methods
ER  -