What are the future trends in supervised learning?

What are the future trends in supervised learning?

Some key trends include the integration of deep learning, increased use of transfer learning, and advancements in explainable AI.

How is transfer learning changing the landscape of supervised learning?

Transfer learning allows models to leverage knowledge from one task to improve performance on another, reducing the need for large datasets.

What role does explainable AI play in supervised learning?

Explainable AI helps in understanding model decisions, which is crucial for trust and accountability in supervised learning applications.

Can you give examples of industries benefiting from these trends?

Industries like healthcare, finance, and autonomous vehicles are leveraging these trends to enhance predictive analytics and decision-making.