ABSTRACT

Machine learning (ML) models use algorithms to receive input data, learn patterns within the data, and make decisions or predictions based on those patterns. ML is a fascinating path of continuous learning and improvement. As we feed it more data and refine its algorithms, ML becomes increasingly capable of astounding feats, from detecting diseases in medical images to driving cars. Deep learning stands at the forefront of modern AI. This computational model, inspired by the idea of biological neural networks, allows machines to mimic our ability to learn from experience, understand complex patterns, and make nuanced decisions. AI is revolutionizing the healthcare field by enhancing diagnostics, treatment planning, patient care, and drug discovery, underscoring the transformative power of smart algorithms in saving lives. ML algorithms can analyse complex datasets, identify trends and patterns, and generate insights that inform business strategies. This application of AI is especially valuable in areas such as financial forecasting, risk management, and market analysis.