MACHINE LEARNING & DEEP LEARNING APPLICATIONS

Abstract

This chapter elaborates how Machine Learning (ML) and Deep Learning (DL) work together to form the foundation of Artificial Intelligence (AI). Since ML makes it possible for computers to learn and develop through data analysis without explicit programming, it is essential for many AI applications, including fraud detection and natural language processing. While DL, a subset of ML, uses neural networks to handle data hierarchically, enabling astonishing advances in autonomous vehicles, speech synthesis, and picture recognition. The chapter highlights how complementary they are, with ML laying the foundation and offering practical ways and DL facilitating complicated pattern extraction from large datasets. It examines practical applications in robotics, finance, and healthcare to demonstrate the combined strength of these fields. The fusion of ML and DL has transformed AI, opening up countless opportunities to improve human-machine interactions and modify the social impact of technology.