👉 Transfers engineering is a process in which knowledge, skills, or models developed in one context are adapted and applied to a new, related but distinct domain. This technique leverages the understanding gained from solving problems or optimizing systems in one area to enhance performance, reduce development time, and improve efficiency in another. For example, machine learning models trained on large datasets for one task can be fine-tuned for a different but similar task, such as image recognition in a new domain with limited data. This approach is particularly valuable when the target domain lacks sufficient data or resources to train models from scratch, allowing engineers to accelerate innovation and deployment by building on existing expertise.
