Synthetic Data and Generative AI

by Vincent Granville

Book Details

Format Paperback / Softback

ISBN-10 0443218579

ISBN-13 9780443218576

Publisher Elsevier Science & Technology

Imprint Morgan Kaufmann Publishers In

Country of Manufacture GB

Country of Publication GB

Publication Date Jan 12th, 2024

Print length 250 Pages

Weight 884 grams

Dimensions 19.20 x 23.40 x 2.30 cms

Product Classification: Information technology: general issues Artificial intelligence

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Ksh 21,800.00

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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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