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.

The Agency Accelerator is an all-encompassing Marketing Agency Coaching Program and Community designed to provide you with the essential tools and knowledge required to launch a successful marketing agency. Joel Kaplan, with years of experience coaching thousands of marketing agency owners, including over 50 who scaled past 100 active clients, leads this comprehensive program.

A Python beginners' course with a difference. It's entirely visual.

Learn LabVIEW, Connect to Hardware and Write Professional Software. Taught by a Certified LabVIEW Architect and Expert.