Statistical Optimization for Generative AI and Machine Learning

The book emphasizes optimization techniques for machine learning and generative AI, with a focus on producing high-quality synthetic data using methods that are often faster than traditional approaches like GANs.

It includes detailed discussions on NoGAN and NoGAN2 techniques, along with Python code and case studies across various industries.

The book also explores other optimization methods and their applications in data science.