What is model development?

Model development encompasses the processes, techniques, and tools used to create, train, evaluate, and deploy machine learning models. It typically involves data collection and preprocessing, feature engineering, model selection, hyperparameter tuning, and rigorous testing to ensure the model performs accurately and reliably on unseen data. Model development is used across various domains, including image recognition, natural language processing, predictive analytics, and recommendation systems, to solve complex problems and automate decision-making.