Big Data, Machine Learning, and Applications

Discover the transformative world of data with "Big Data, Machine Learning, and Applications," authored by Malaya Dutta Borah. This comprehensive volume, published by Springer Verlag in 2023, serves as the refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications (BigDML 2021). Spanning an impressive 778 pages, this book is an essential resource for research scholars, academicians, and industry professionals engaged in the fields of data storage and machine learning. Dive into the latest advancements and applications in big data and machine learning, and enhance your understanding of these critical technologies. Whether you're a seasoned expert or a newcomer, this book offers valuable insights that will elevate your work and knowledge in the ever-evolving landscape of data science.