Add to Favourites
To login click here
Low-Code AI is a hands-on guide that presents three problem-focused ways to learn machine learning and deep learning concepts. Business and data analysts can use this guide to get a project-based introduction to ML/AI, with a detailed, data-driven approach to loading and analyzing data, feeding data into an ML model, building, training, and testing, and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling provide examples of how to build machine learning models for various industries.