Applications of Machine Learning (Vol. IV)

Abstract

Tech innovation like AI transforms industry. ML enables computers learn and develop without scripting, enabling AI. In “Applications of Machine Learning,” volume 4, we examine AI’s many real-world applications and acceptance challenges. AI is essential in today’s fast-paced world. From tailored streaming suggestions to driverless cars on rough roads, technology has changed our lives. AI aspires to increase efficiency, accuracy, and decision making across disciplines, expanding possibilities. As the foundation of AI, machine learning has numerous everyday uses. Based on vast data sets, ML algorithms predict weather patterns and improve supply chain operations for informed decision-making. This book shows how ML may change finance, healthcare, transportation, and entertainment. The route to ML’s full potential is not easy. Data scarcity, algorithmic bias, and interpretability hamper implementation. Ethical issues around AI include privacy, accountability, and society. We must address these challenges with interdisciplinary alliances and ethical frameworks that lead AI towards inclusivity and responsible innovation. This collection includes research articles with unique viewpoints and current issues solutions. These papers show ML’s widespread impact on society, from stock price prediction to energy efficiency to public health and cybersecurity. These contributions by renowned AI and ML experts show how collaboration promotes progress