Synthetic Data and Generative AI
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 issuesArtificial intelligence
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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