BOOKS - Synthetic Data and Generative AI
Synthetic Data and Generative AI - Vincent Granville February 8, 2024 PDF  BOOKS
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Synthetic Data and Generative AI
Author: Vincent Granville
Year: February 8, 2024
Format: PDF
File size: PDF 44 MB
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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