The benefits of multi-tasking !

In machine learning, the general objective is to learn one model for a task given the dataset corresponding to that task. This can be seen as single task learning. If you learn a single model jointly for multiple tasks it can be termed as multi task learning (MTL). For example, let's say you are building a content classifier to detect emotions: laugh, hate, anger, love, … You can learn a single multi task multi label model instead of learning one model per emotion. In machine learning, the general objective is to learn one model for a task given the dataset corresponding to that task.