Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

Explore the cutting-edge world of data science with Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track by Yuxiao Dong. Published by Springer Nature Switzerland AG in 2021, this comprehensive volume spans 554 pages and serves as the refereed proceedings of the prestigious European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2021), held from September 13-17, 2021.

This first edition delves into the latest advancements and methodologies in machine learning and knowledge discovery, making it an essential resource for researchers, practitioners, and students alike. Whether you are looking to enhance your understanding of applied data science or seeking insights from leading experts in the field, this book offers a wealth of knowledge and practical applications. Don't miss the opportunity to enrich your library with this vital addition to the data science domain!