About the Technical Reviewer
Chapter 1: An Introduction to Synthetic Data
Why is Synthetic Data Important?
Synthetic Data for Data Science and Artificial Intelligence
Data Collection versus Privacy
Data Privacy and Synthetic Data
Synthetic Data and Data Quality
Aplications of Synthetic Data
Natural Language Processing
Understanding of Visual Scenes
Chapter 2: Foundations of Synthetic data
How to Generated Fair Synthetic Data?
Generating Synthetic Data in A Simple Way
Using Video Games to Create Synthetic Data
The Synthetic-to-Real Domain Gap
Is Real-World Experience Unavoidable?
Chapter 3: Introduction to GANs
Chapter 4: Synthetic Data Generation with R
Basic Functions Used in Generating Synthetic Data
Creating a Value Vector from a Known Univariate Distribution
Vector Generation from a Multi-Levels Categorical Variable
Multivariate (with correlation)
Generating an Artificial Neural Network Using Package "nnet" in R
Image Augmentation Using Torch Package
Multivariate Imputation Via "mice" Package in R
Generating Synthetic Data with the "conjurer" Package in R
Generating Synthetic Data
Generating Synthetic Data with "Synthpop" Package In R
Chapter 5: Synthetic Data Generation with Python
Data Generation with Know Distribution
Data with Date information
Data with Internet information
A more complex and comprehensive example
Synthetic Data Generation in Regression Problem
Gaussian Noise Apply to Regression Model
Friedman Functions and Symbolic Regression
Synthetic data generation for Classification and Clustering Problems
Generation Tabular Synthetic Data by Applying GANs
Synthetic data Generation
