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612-822-4611
Synthetic Data and Generative AI

Synthetic Data and Generative AI

Paperback

General Computers

ISBN10: 0443218579
ISBN13: 9780443218576
Publisher: Morgan Kaufmann Publishers
Published: Jan 12 2024
Pages: 250
Weight: 1.70
Height: 0.81 Width: 7.51 Depth: 9.21
Language: English
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.

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