Definition
Model development is the process of creating, training, and refining artificial intelligence or machine learning models. It involves selecting appropriate algorithms, preparing and cleaning data, defining model architecture, and iteratively adjusting parameters to achieve desired performance metrics. This practice is crucial for building effective AI solutions that can solve complex problems and automate tasks. For instance, a retail company might develop a recommendation engine model to suggest products to customers based on their past purchases and browsing history. Unlike model deployment, which focuses on making a trained model available for use, model development is concerned with the creation and improvement of the model itself. This concept is foundational for many AI and machine learning certifications, including those offered by AWS.