The video tutorial introduces the concept of a linear solution in machine learning, highlighting its foundational role. It discusses the limitations of linear solutions, particularly in scenarios like hiring an employee based on test scores and academic records. The tutorial emphasizes the need to modify training data to achieve better outcomes and concludes by encouraging viewers to think about alternative solutions.

In what scenarios might linear solutions fail to provide accurate results?

What alternative solutions could be considered when linear solutions are inadequate?