Learn the fundamental concepts of synthetic data generation for machine learning applications. This course explains what synthetic data is, why it's used, and basic methods for creating it, suitable for anyone starting in AI engineering or data science.
Prerequisites Basic Python helpful
Level:
Synthetic Data Fundamentals
Define synthetic data and explain its role in addressing data limitations in machine learning.
Data Generation Principles
Understand the basic principles behind creating artificial data that mimics real-world data properties.
Simple Generation Techniques
Apply basic methods to generate synthetic data, including rule-based systems and statistical sampling.
Tabular Data Synthesis
Learn techniques specifically for generating synthetic structured (tabular) data.
Image Data Synthesis Basics
Understand introductory methods for creating synthetic image data.
Synthetic Data Evaluation
Recognize the importance of evaluating synthetic data quality and learn basic assessment methods.
Common Tools Awareness
Become aware of common software libraries used for generating synthetic data.