Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Mode

The video tutorial introduces multi-target models, which predict multiple outputs or vectors instead of a single target. It explains that these models are common in regression tasks but can also be used in classification to predict probabilities for different classes. The tutorial provides examples of input-output pairs and discusses the underlying theory, emphasizing that the principles of multi-target modeling are similar to those of single-target models.

How does the underlying theory of multi-target modeling compare to single target modeling?

What does the training data look like for multi-target models?