Synthetic Data and Generative AI (Paperback) (ISBN-13: 9780443218576)

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.

Author: Vincent Granville
ISBN-10: 0443218579
ISBN-13: 9780443218576
Publisher: Morgan Kaufmann Publishers
Language: English
Published: 01/12/2024
Pages: 250
Format: Paperback