Real-World Applications of Machine Learning
Authors-Kanduri Abhinay
Keyword-supervisor learning, supervisor learning, NLP (natural language processing), deep learning, reinforcement learning, machine learning , big data, random forest, Data analytics etc.
Real-World Applications of Machine Learning serves as a comprehensive platform dedicated to showcasing innovative and impactful machine learning solutions in diverse sectors. As machine learning continues to revolutionize industries, this journal aims to bridge the gap between theoretical research and practical implementations. It focuses on the application of machine learning techniques in fields such as healthcare, finance, manufacturing, transportation, and more. By featuring cutting-edge research, case studies, and interdisciplinary collaborations, the journal provides insights into how machine learning algorithms are being deployed to solve complex real-world problems. Emphasis is placed on the challenges faced during implementation, including data management, algorithmic fairness, scalability, and integration with existing systems. Through rigorous peer review and expert analysis, Real-World Applications of Machine Learning aims to be an essential resource for practitioners, researchers, and policymakers who seek to understand and leverage the transformative power of machine learning in practice.